61 jobs found

We are an AI research lab building foundational intelligence for the physical world. Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next generation wearables and media. We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments. You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real world operation. What You'll Do Build the Foundation: Collaborate with our world model team to build state of the art training and simulation platform for robotics. Build the "World": Develop persistent 3D/4D scene representations that maintain temporal consistency. Drive Intelligence: Unlock advanced robotics planning and decision making through our in house, cutting edge world models. Sim2Real: Ensure sensing and system dynamics perform reliably in high stakes, real world operations, where models think, simulate, and act. Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI. Areas of Interest We are particularly excited about candidates working on topics such as: World models for embodied systems 3D / 4D generative models Robotics manipulation Embodied AI Multimodal AI What We're Looking For Background in robotics, or computer vision Experience with 3D perception, scene representations, or world models Experience working with robotic systems, simulation, or real world platforms Strong programming skills (Python, C++, or similar) Located in London or willing to relocate to London, UK Ability to work across machine learning, perception, and robotics Benefits An Elite Team: Collaborate with top tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting edge AI technology. Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact. Mission-Driven Environment: Work alongside a collaborative, mission focused team dedicated to advancing AI for meaningful applications. Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity. Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well being. Visa Support: We provide visa assistance for UK employees to ensure a smooth transition and support your career with us.

TCO is looking for a Senior Systems Engineer to lead an Autonomous Systems team, covering UAV platforms, autonomous field robotics, sensing payloads, electronics and mechatronics integration, testing and deployment readiness. This is a hands-on technical leadership role with immediate line-management responsibility for a multidisciplinary team of around six engineers, with expected team growth. The role reports to the Head of Engineering and works closely with Product Engineering, Robotics Software, Operations and Field Operations to deliver systems that are practical, safe and field-ready. The successful candidate will combine technical credibility across UAV systems, autonomy, mechatronics, embedded systems, sensing and field testing with strong people leadership. They do not need to be the deepest specialist in every area, but they must be able to make good system-level judgements, bring multiple disciplines together and keep delivery moving in a fast-changing engineering environment. Team leadership, delivery and people management: Provide full line management for the Autonomous Systems team, including direct reporting lines, delegation and project/workload setting, mentoring, career development, performance management, HR and employee relations matters, motivation and team engagement. Establish clear priorities, ownership and delivery rhythms so the team can work effectively across multiple active projects and field trials. Technical direction and systems delivery: Lead engineering delivery across UAV platforms, autonomous robotics, onboard compute, autopilot systems, mechatronics, sensing, payload integration, embedded systems, communications, safety systems and field deployment equipment. Translate product, customer and operational needs into practical engineering plans, milestones and system trade-offs. Systems engineering leadership: Guide requirements interpretation, architecture decisions, interface definition, configuration, technical risks and failure modes across complex integrated systems. Ensure designs are buildable, testable, deployable, maintainable and suitable for harsh field environments including remote sites, high-voltage infrastructure, electromagnetic interference, transport and operator usability. Cross-functional coordination: Work closely with Product Engineering, Robotics Software, Perception, Electronics, Chemistry, Production, Logistics, Operations and Field Operations to align plans, unblock dependencies and ensure engineering decisions reflect real customer, safety, production, field and deployment constraints. Testing, validation and deployment readiness: Oversee bench testing, integration testing, flight trials, field trials and customer demonstrations where required. Ensure tests have clear objectives, acceptance criteria, safety controls, evidence capture and post-test learning, including appropriate consideration of failsafes, comms-loss behaviour, operator override and operational controls. Engineering process and technical governance: Improve engineering discipline without adding unnecessary bureaucracy, including appropriate documentation for architecture, interfaces, configurations, decisions, risks, test evidence and deployment readiness. Strengthen planning, issue tracking, design reviews, handover, lessons learned and review gates as the team scales. Roadmap, resourcing and team growth: Work with the Head of Engineering to align Autonomous Systems priorities with the wider engineering roadmap, identify capability gaps, hiring needs and team structure changes, and build a scalable autonomous systems function that supports the robotic coating and inspection roadmap. Requirements Required Skills & Experience 5+ years of experience in robotics, UAV systems, autonomous systems, aerospace, mechatronics, field robotics or a closely related engineering discipline. Experience leading or line-managing multidisciplinary engineering teams, including prioritisation, delegation, coaching, development and performance responsibility. Hands-on experience developing, integrating, testing or deploying UAV, robotic, mechatronic, embedded or autonomous systems in real-world environments. Strong systems engineering judgement, including requirements interpretation, architecture trade-offs, interface definition, risk assessment, failure modes and validation planning. Technical credibility across UAV systems, autonomy, mechatronics, electronics integration, embedded systems, sensing, communications and field testing. Proven ability to coordinate delivery across software, firmware, electronics, mechanical, operations, production, logistics or field teams to deliver integrated systems. Comfortable operating in a fast-moving engineering environment with incomplete information, shifting priorities and high delivery pressure. Degree in Robotics, Aerospace, Mechanical, Mechatronics, Electrical/Electronic Engineering, Control Systems, Computer Science or a related technical field, or equivalent industry experience. Preferred Skills & Experience Experience managing a team of 5 or more engineers and helping build or scale engineering team structures. Experience operating UAVs or robotic systems near infrastructure, utilities, industrial sites, construction, inspection, defence, aerospace or other safety-critical environments. Practical exposure to UAV autopilot or robotics ecosystems such as PX4, ArduPilot, MAVLink, QGroundControl, Mission Planner, ROS/ROS2 or Linux-based robotics integration. Experience with heavy-lift UAVs, custom UAV builds, tethered UAVs, payload deployment systems or field robotic deployment platforms. Familiarity with tools and workflows such as C++, Python, MATLAB/Simulink, Docker, Git, CI/CD, embedded software workflows or simulation environments. Experience with navigation, sensing or communications technologies such as sensor fusion, state estimation, visual navigation, localisation, mapping, RTK/GNSS, lidar, stereo vision, optical flow, line tracking, RF, LTE/5G, Wi-Fi, mesh networks or telemetry systems. Experience with safety cases, FMEA, test evidence, compliance, CAA/FAA regulations, SORA, GVC, A2 CofC or operational authorisations. Experience in startups, R&D environments, high-accountability product development teams or field-deployed technology businesses.

About The Role We're hiring a Software Control Teleoperation Engineer to join our Control team based in London. We are seeking a Teleoperation Software Engineer to build the next generation of VR-based, low-latency teleoperation for humanoid robots. You will design and implement real-time communication and visualization software that connects human operators to robots through VR headsets, motion tracking systems, and wireless video streaming - enabling fluid, natural, and data-rich human-robot interaction. The role combines immersive VR development, wireless networking, and real-time data integration, with the goal of creating high-fidelity, data-collection-centric teleoperation experiences that allow humans to intuitively control robots while generating valuable learning data. What You'll Do Develop immersive VR control experiences using head-mounted displays (HMDs), motion-tracked controllers, and full-body capture systems. Architect and implement ultra-low-latency wireless communication pipelines for synchronized video, depth, and motion data streaming. Design and optimize encoding, compression, and transmission of multi-camera video feeds for real-time operation. Integrate stereo video and depth data into Unity-based VR environments, ensuring accurate spatial alignment and responsiveness. Implement sensor fusion and motion filtering to achieve stable, high-fidelity human-to-robot motion mapping. Own the UX design and interaction logic for the VR teleoperation experience - ensuring comfort, precision, and intuitiveness. Build tools for session recording, data annotation, and synchronization to support scalable data-collection workflows. Validate performance under realistic wireless-network conditions (latency, bandwidth, and signal variability). What We're Looking For M.S. or Ph.D. in Computer Engineering, Robotics, Computer Science, or related field. 5+ years of experience in VR/AR, real-time communication, or interactive 3D application development. Proficiency in C++ and Python, with experience in Unity (C#) or similar VR/AR development environments. Strong understanding of low-latency video and depth streaming, wireless networking, and real-time synchronization. Hands-on experience with VR headsets (e.g., Meta Quest, Vive), motion capture (e.g. OptiTrack), and tracking systems (Xsense suit). Proven ability to design and implement intuitive, high-performance user experiences in immersive environments. Nice to have: Experience integrating VR-based teleoperation or remote-presence control systems. Familiarity with WebRTC, ROS 2, or custom real-time communication protocols. Understanding of stereo vision, 3D reconstruction, and multi-sensor calibration. Background in human-computer interaction, spatial UX design, or mixed-reality visualization. Strong analytical and debugging skills for real-time, distributed systems. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Explore opportunities across the globe in The Machine Learning EcoSystem Showing 1-6 of 16 vacancies Austin, United States AI Engineer - Industrial AI This organization is dedicated to rebuilding the industrial base by deploying advanced AI and automation across heavy industries like utilities, logistics, and manufacturing. As a member of a high-impact engineering team, the AI Engineer will build production-level agentic products that solve complex challenges in the physical world, from predictive maintenance to autonomous operations planning. The role requires a hands on approach to developing multimodal systems that process video streams and IoT sensor data. Successful candidates will thrive in an early stage environment, moving quickly from prototype to deployment while maintaining the high reliability required for industrial applications. Key Responsibilities: Architect and deploy agent runtime and orchestration systems for vision quality and operations planning. Take ownership of multimodal perception pipelines, including video frame extraction and cross-sensor correlation for anomaly detection. Contribute to the development of industrial knowledge graphs and ontologies that ground agent reasoning. Build the platform memory layer to facilitate compounding intelligence and knowledge transfer across various deployments. Develop operational interfaces, including real-time dashboards and replanning consoles for enterprise clients. Integrate AI systems with industrial software like ERP and CMMS by creating connectors for heterogeneous data. Requirements: At least 3 years of professional experience as an ML, Computer Vision, or Software Engineer, with 5+ years preferred. Proven track record of shipping production AI systems from zero to one, specifically agentic products. Strong proficiency in Python and TypeScript. Experience handling complex sensor data or video streams, with a preference for backgrounds in robotics or autonomous vehicles. Ability to work autonomously in a fast paced, industrial focused startup environment. On-site Permanent 180k - 210k Senior AI Software Engineer Confidential New York, United States This organization provides a specialized platform designed to train AI agents within high fidelity simulation environments. By focusing on experiential learning rather than simple instruction, they enable autonomous agents to master complex enterprise tasks. As part of a lean, high performing team of eight, the Senior AI Software Engineer will play a central role in scaling the core simulation engine and backend infrastructure. The successful candidate will own the development of features that allow customers to deploy and refine AI agents. This role requires a balance of sophisticated backend engineering and practical implementation of Large Language Model (LLM) tooling. Key Responsibilities: Design and develop robust backend services using Python and FastAPI. Integrate and manage data stores including PostgreSQL, Redis, and various vector databases. Implement and iterate on AI agents within secure sandbox environments. Manage cloud infrastructure and DevOps tasks, including Infrastructure as Code, containerization, and cost optimization. Collaborate closely with research and product teams to meet project milestones. Maintain high code quality through rigorous testing, metrics instrumentation, and CI/CD management. Requirements: Four to six years of experience in backend focused software engineering. At least one to two years of experience shipping production level LLM features, such as agents or chatbots. Deep proficiency in Python and familiarity with modern frameworks like FastAPI. Working knowledge of Kubernetes, Terraform, and major cloud providers (AWS, GCP, or Azure). A proactive approach to ownership and the ability to operate in a fast paced environment. On-site Permanent 250k - 300k Engineering Leader - Applied ML Confidential New York, United States A leading innovator in the financial technology space is seeking an Engineering Leader for Applied ML to help shape the future of autonomous accounting. This role sits at the heart of the Applied ML team, which develops sophisticated systems capable of reading documents, reasoning over complex contexts, and completing high stakes accounting workflows with precision. The team prioritizes a holistic systems approach rather than focusing solely on model development. This involves optimizing orchestration, retrieval, and memory while pushing model providers to their limits through custom runtimes and unconventional loops. As a leader, responsibility extends beyond technical architecture to building a sustainable, high performing engineering culture that thrives on rigor and rapid iteration. Key Responsibilities: Build and scale the Applied ML organization by hiring, coaching, and mentoring a world class team of engineers. Define and evolve multi agent architectures, focusing on autonomy boundaries, safety layers, and context management. Own the evaluation infrastructure to ensure models are shipped with confidence, traceability, and stability. Collaborate with Research, Product, and Platform teams to translate technical insights into production grade systems. Establish clear standards for experimentation, observability, and documentation to maintain a high bar for engineering craft. Requirements: At least 7 years of experience in software engineering, with a significant focus on leading machine learning or applied AI teams. A deep understanding of building and managing production grade ML systems and agentic workflows. Strong architectural intuition and the ability to think in systems while debating complex technical trade offs. Experience fostering a culture of continuous learning, fast iteration, and objective evaluation. On-site Permanent 250k - 325k AI Engineer - Content Integrity Platform Confidential New York, United States This organization is dedicated to restoring transparency and information quality across the internet. As the world's leading AI text identification platform, they serve over 11 million active users by providing tools that preserve and enhance critical thinking. The company is seeking an AI Engineer to join their machine learning team in New York City as a foundational member during a period of rapid growth. The role focuses on building and deploying reliable AI agents into production environments. You will work closely with a highly accomplished leadership team, including a CTO with multiple ML patents and an AI Research Lead with deep industry experience. This position offers a unique chance to work on hallucination detection and responsible AI adoption tools that directly impact how students and educators interact with technology. Key Responsibilities: Design and build reliable AI agents and deploy them into production using Python and various APIs. Utilize prompt engineering and optimize backend model parameters like temperature and input/output structure. Implement Retrieval Augmented Generation (RAG) and other advanced frameworks to enhance model performance. Develop tools for hallucination detection to promote the responsible use of AI. Collaborate with design and research leads to translate machine learning research into intuitive user facing products. Requirements: 2 to 6 years of experience in full stack or machine learning roles with a focus on building agentic AI applications. Strong proficiency in Python and familiarity with tools such as Langchain, LlamaIndex, DsPY, or TextGrad. Proven ability to move software from development into a production environment for a large user base. A solid understanding of how Large Language Models operate on the backend. Passion for building software that prioritizes information integrity and transparency. On-site Permanent 150k - 250k Founding Engineer - Supply Chain Agentic Layer Confidential New York, United States This company is building the AI native operating engine for the wholesale supply chain, a sector seven times the size of e-commerce that still relies on outdated manual processes. Having recently secured a $3+M, the team is now seeking a Founding Engineer to own the development of their autonomous agent layer. This role is central to replacing manual spreadsheets and email chains with intelligent systems that manage the entire order to cash lifecycle for high growth brands. As a Founding Engineer, the focus is on architecting and deploying specialized agents that operate within complex supply chain environments. These systems must coordinate across ERPs, third party logistics providers, and retailer portals with high precision. Key Responsibilities: Architect agentic systems to handle end to end ordering, freight tendering, and reconciliation. Develop robust tool use, retrieval, and planning mechanisms with production grade safety guardrails. Optimize models through fine tuning, evaluation frameworks, and human in the loop feedback systems. Collaborate directly with customers to translate intricate operational workflows into automated solutions. Work within a modern tech stack including TypeScript, Python, Node.js, and emerging agentic frameworks. Requirements: . click apply for full job details

Open roles across robotics, biology, and infrastructure. London-based; some roles remote-friendly. Member of Technical Staff, Physical AI Location London Employment Type Full time Location Type On-site Department Operations The opportunity Substrate is building a laboratory that runs itself. Robotics move the samples and the instruments take the measurements, but a lab that operates without people standing over it has to perceive what it is doing: every camera frame, every sensor stream, every instrument log, captured and understood in real time. That perception layer does not exist yet. You would build it. This is the work that lets an autonomous lab catch its own mistakes, a misfired liquid handler or a transfer that did not complete, the moment they happen, and that captures the full provenance of every experiment as it runs. Provenance is one half of the bar, with scientific quality, that makes Substrate's data worth training on, and it only exists if it is captured at the source. The layer has to be live before the lab starts running semi-automated, because data that is not captured cannot be recovered. About Substrate Substrate is building the critical infrastructure layer between AI and biology: an AI-native automated lab that produces biological data at scale. AI for biology has a data problem, not a compute problem. Biological foundation models can predict, but they cannot run experiments, and the high-quality, large-scale data they need does not exist. Substrate generates it, with quality and provenance built in. We are four co-founders, venture-backed, building our first lab at 20 Triton Street in London. We are not a cloud lab and we are not a CRO. We are the infrastructure that turns scientific intent into executed experiments and structured, AI-ready data, and over time into proprietary datasets and our own infrastructural intelligence. The role You will own how the lab perceives itself, end to end. That means onboarding the sensors and cameras across the lab and turning their output into a single, timestamped data model, mapped to a live picture of the physical space. It means standing up vision models (VLMs and VLAs) that watch the lab run and detect errors in real time, so the team is alerted the instant something deviates from what the workflow expected. And it means doing this on edge compute on-site, because real-time error detection cannot wait on a round trip to the cloud. Your capture layer is the foundation the rest of the software builds on. The infrastructure software turns customer intent into executed lab work; the intelligence layer learns from what the lab produces. Both depend on clean, complete, well-structured data coming off the floor, which is what you build. You will work day to day with the founding software engineer who owns the infrastructure software, with the scientists running the assays, and at the boundary with the intelligence team who take your data into the metadata layer. Your first 90 days FIRST 30 DAYS Get the first cameras and sensors capturing on the live, semi-automated lab, so no run happens uncaptured. Agree the timestamped, mapped data model with the software and science teams. DAYS 30 TO 60 Ship the first real-time error detection on a live instrument, alerting the team the moment a run deviates. Extend capture to instrument telemetry and the movement of materials across the lab. DAYS 60 TO 90 Add environmental sensors (thermal, humidity) and harden the edge pipeline and the detection models. Feed clean, mapped data into the metadata layer the intelligence team builds on, ready to scale toward full automation. Who you are You have built perception or sensing systems that had to work in the physical world, where the interesting failure modes live: robotics, autonomous vehicles, drones, manufacturing, or scientific instruments. You have made cameras and sensors behave (calibration, synchronisation, capture, deployment) and you have put computer vision into production, not just prototypes. You are pragmatic about vision language models: you have used them in real systems and you know where they break. You are happy being the person who makes the physical thing actually work, hands on, as an individual contributor. You are comfortable with early stage ambiguity, with deciding on partial information, and with revisiting decisions when better information arrives. You want to be close to the hardware and close to the science. MUST HAVE Experience building real time perception or sensing systems in the physical world (robotics, autonomous vehicles, drones, manufacturing, or instrumentation). Hands on experience with cameras and sensors: calibration, synchronisation, capture pipelines, and deployment. Strong software engineering, and real comfort at the software to hardware boundary. Four or more years building systems of this kind. NICE TO HAVE Edge deployment and real time inference on on site compute (for example Nvidia Jetson or similar). Sensor fusion, SLAM, or large scale time series and telemetry. Exposure to lab automation, scientific instruments, or other regulated physical data environments. Early stage or founding engineer experience at a venture backed company. Why this is unusual Most physical AI roles sit inside robotics or autonomous vehicle companies, where perception is the product. This is different. Here, perception is the sense organ of a laboratory that runs itself. You will not be detecting pedestrians; you will be catching a pipetting error before it corrupts a dataset that a foundation model will train on, and capturing the provenance that makes that dataset worth training on at all. You will also sit between software, hardware and biology at the same table. Some engineers find that mix energising; some find it distracting. It is worth knowing in advance which one you are. How we work Because the work is hands on, you will spend significant time in the lab at 20 Triton Street, at a minimum of three days a week, where the instruments, robots and sensors are. The rest of the team is distributed across several locations and works flexibly, and we keep a light shared rhythm: a Monday kickoff, a Thursday all hands, a short daily team sync, and a quarterly offsite. We are a small team that documents in the open and backs the best idea regardless of who has it. We look after people well. In the UK that means 30 days of annual leave a year plus public holidays, a pension with a 10% employer contribution, and top tier private health cover with Bupa, with more added as the team grows. The team you will join You will join a founding team of four. Mostafa ElSayed is our CEO, and also the founder and CEO of Automata, the lab automation company whose hardware our lab runs on. Oli Hoy leads the lab build, the infrastructure software and operations. Alexey Morgunov leads the intelligence software and the science. Anna Huyghues Despointes leads commercial and partnerships. You will report to our founding software engineer, who owns the infrastructure software, and work alongside the scientists and the intelligence team. We expect to be over 30 people within the year, so you will be early, and it shows in the scope you own. The process Screening, then a behavioural and cultural fit conversation, then a technical session or work sample with the team (including time in person at the London lab), then references. Substrate is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background.

Humanoid is looking for a Senior ML Engineer to join the Perception and Navigation team in London. The role involves designing and optimizing systems for computer vision and spatial understanding in robots. Candidates should have deep experience in machine learning, particularly with large models, and be proficient in PyTorch. The position offers meaningful time off, fully funded healthcare, a pension scheme, and a collaborative work environment with top experts in AI and robotics.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Overview Pearson Engineering Ltd is a world leading provider of counter-mine and combat engineering equipment. Our product range is wide and varied, including complex attachments for armoured vehicles and remote-controlled mine clearance systems. The company is positioned to lead in Autonomous Combat Engineering Systems. An ambitious R&D programme investing circa £3m over the next three years will build a centre of excellence for world-class robotics engineering in the North East of England. Job purpose Pearson Engineering is seeking a talented Software Solutions Architect. You will work with colleagues across our R&D and Engineering teams to shape end-to-end software architecture and CI/CD processes for our current and future Remote and Autonomous Systems. You will balance innovation, business goals and technical feasibility, and lead the design of scalable, maintainable and secure software architecture, ensuring compliance with defence industry standards. You will be responsible for the software architecture and CI/CD process covering: Control of Robotic and Autonomous payloads and equipment Vehicle automation Computer vision and image processing Sensor integration Digital twin integration Simulation development Algorithm testing and data analysis Safety systems You will have the opportunity to meet and build relationships with global end-users and partners. You will spend time working with them to trial and optimise solutions for use in real world environments, including validation and verification for real world operations. The role will involve working from early conceptual stages through to final release. Responsibilities Lead technical aspects of defining and developing Software Architecture and CI/CD process for Pearson Engineering Remote and Autonomous Systems products and solutions. Implement software system level architecture as a key enabler for current and future scalable, maintainable and secure software defined solutions. Ensure governance and compliance objectives are set and achieved, including defence industry and security standards. Write clean, maintainable, and scalable code, utilising modern software engineering practices and tools. Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment and maintenance of software systems. Collaborate with cross-functional teams to integrate software systems with physical systems and products. Facilitate integration of all software components into a fully functional software system. Participate in design reviews providing software technical input through the development process. Coach team members to improve capabilities and develop their software systems knowledge and expertise. Troubleshoot and resolve complex software technical issues. Stay informed on current trends in software development and Remote and Autonomous Systems; proactively explore their implementation within the company. Skills and experience A degree in Software Engineering or Computer Science, with a grade of at least a 2:1 or an equivalent qualification and experience. Proven experience of software system level design and implementation for scalable, maintainable and secure systems. Proven experience of implementing CI/CD processes for safety-critical software systems. Proven experience in a relevant industry developing software architecture for integration with physical hardware (e.g., complex robotics and control systems). Experience with Linux and developing real-time software in C/C++ or Python. Understanding of electronics and the ability to read electrical schematics. Demonstrable knowledge and experience of current software engineering practices for Remote and Autonomous Systems. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Experience of robotics, machine control systems and automation is desirable. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate complex processes and procedures to colleagues. Self-motivating, proactive and results-driven approach. Collaborative ethos is essential. Personal attributes and other requirements As a defence contractor, there are security obligations that require staff to achieve the relevant security clearances. You will be expected to support in-house training programmes, as required. Working conditions Mainly office based with visits to external customers (both UK and overseas) from time to time. Working conditions on customer sites may include hours outside normal business hours and inclement field conditions. Reduced working hours on a Friday.

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role As a Systems Engineer on the UK Engineering team, you will play a critical role in defining system requirements, designing architectures, and integrating Applied Intuition's technology onto autonomous vehicles and defence systems. This role combines systems engineering, robotics, software deployment, architecture, integration, and real world testing. You will work across both office and field based environments, with significant time spent deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. You will collaborate closely with software engineers, autonomy engineers, perception teams, data scientists, and field operators to ensure systems are robust, reliable, and ready for deployment. At Applied, you will: Define system requirements from user needs on operational concepts Define system and system of systems architectures and align with open standards such as PYRAMID, FCADE, etc. Design and build out reference architectures for multiple systems of interest including autonomy systems, mission systems, and weapon systems Lead the development of system engineering models and artifacts to capture key design decisions Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots Participate in hands on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real world environments Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation Address inter vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment Collaborate with cross functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements We're looking for someone who has: MS or Ph.D. in Robotic Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi agent autonomy Strong proficiency in Linux and command line tools Strong proficiency in Python and/or C++ Hands on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS) Knowledge of communication protocols for inter vehicle communications (e.g., DDS, ROS 2, or similar) Experience in integrating third party software and APIs Experience with standards such as PYRAMID, FACE, ARP 4754A, DO 178C, or similar Systems architecturing and requirements writing experience Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions Travel Requirements: Must be willing to travel as projects require; average travel varies, but can be up to once a month for up to 1 week ( 50%) Nice to have: Excellent written and verbal communication skills, with the ability to document processes and communicate technical concepts to cross disciplinary teams Experience working on autonomy, robotics, aerospace, defence, mission systems, or safety critical systems Experience working directly with customers, operators, or end users in field based environments Ability to work in a fast paced, evolving environment, including under challenging conditions in remote or field locations References who will describe them as low ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Security Requirements: Must hold or be eligible to obtain and maintain a UK security clearance Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

About the Role We are looking for a Software Engineer to join our Physical AI team, working on next-generation platforms for automotive and robotics applications. This role sits at the intersection of embedded systems, high-performance computing, AI, and robotics, offering the opportunity to work across the full hardware and software stack. A key initial responsibility will be supporting the development, integration, and documentation of the RAVE2 platform, ensuring that technical information is clearly captured and communicated for both internal and external stakeholders. As the platform and team evolve, there will be opportunities to expand into embedded AI inference, computer vision pipelines, robotics software development, graphics technologies, and simulation environments used to develop and validate intelligent systems. This position is ideal for an engineer with a strong Linux and embedded software background who enjoys working close to the hardware while contributing to innovative AI enabled solutions for real-world applications. Key Responsibilities Develop, maintain, and support software for embedded Linux platforms. Contribute to the design, integration, validation, and optimisation of embedded systems. Create and maintain high-quality technical documentation for the RAVE2 platform and associated technologies. Collaborate with hardware, FPGA, systems, AI, and software engineering teams to deliver integrated solutions. Support platform bring up, debugging, performance analysis, and system validation activities. Investigate and resolve software, hardware, and system level issues across complex embedded environments. Contribute to the development of engineering best practices, documentation standards, and development processes. Support future development activities involving embedded AI inference, computer vision, robotics, graphics, and simulation technologies. Required Skills & Experience Strong software development experience using C/C++ and/or Python. Solid experience working with Linux operating systems and Linux based development environments. Deep understanding of embedded systems architecture and software development. Experience debugging complex software and system level issues. Understanding of low level software concepts, hardware/software interactions, and system integration. Strong written and verbal communication skills, with the ability to produce clear and effective technical documentation. Ability to work effectively within multidisciplinary engineering teams. Desirable Skills & Experience Experience with FPGA based systems and hardware acceleration technologies. Understanding of SoCs (System on Chip) and ASIC based platforms. Familiarity with Real Time Operating Systems (RTOS). Knowledge of AUTOSAR and automotive software architectures. Experience with graphics and visualisation software stacks, including GPU accelerated rendering and display pipelines. Familiarity with graphics technologies such as OpenGL, Vulkan, Wayland, or related Linux graphics frameworks. Experience developing applications and systems using ROS 2 (Robot Operating System 2). Understanding of robotics software architectures, middleware, and sensor integration. Experience with simulation environments and virtual development platforms. Familiarity with simulation frameworks such as Gazebo, Isaac Sim, CARLA, or similar technologies. Understanding of AI inference deployment on embedded platforms. Experience with computer vision frameworks, perception systems, and vision processing pipelines. Experience within automotive, robotics, autonomous systems, or related industries. What You'll Gain Opportunity to work on cutting edge Physical AI technologies for automotive and robotics applications. Exposure to advanced embedded computing platforms, AI acceleration technologies, and heterogeneous computing architectures. Collaboration with experts across software, hardware, AI, systems engineering, and robotics disciplines. Opportunities to develop skills in embedded AI, computer vision, graphics, robotics software, and simulation technologies. A supportive and innovative engineering environment focused on solving complex real world challenges. About the Team Our Physical AI team develops technologies that enable intelligent machines to perceive, understand, and interact with the physical world. We work across embedded systems, AI, robotics, graphics, and simulation to build platforms that power the next generation of automotive and robotic applications. Employment Practices Benefits offered are described. Equal Opportunity Employer AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available. This posting is for an existing vacancy.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role We're hiring a Software Control Teleoperation Engineer to join our Control team based in London. We are seeking a Teleoperation Software Engineer to build the next generation of VR based, low latency teleoperation for humanoid robots. You will design and implement real time communication and visualization software that connects human operators to robots through VR headsets, motion tracking systems, and wireless video streaming - enabling fluid, natural, and data rich human robot interaction. The role combines immersive VR development, wireless networking, and real time data integration, with the goal of creating high fidelity, data collection centric teleoperation experiences that allow humans to intuitively control robots while generating valuable learning data. What You'll Do Develop immersive VR control experiences using head mounted displays (HMDs), motion tracked controllers, and full body capture systems. Architect and implement ultra low latency wireless communication pipelines for synchronized video, depth, and motion data streaming. Design and optimize encoding, compression, and transmission of multi camera video feeds for real time operation. Integrate stereo video and depth data into Unity based VR environments, ensuring accurate spatial alignment and responsiveness. Implement sensor fusion and motion filtering to achieve stable, high fidelity human to robot motion mapping. Own the UX design and interaction logic for the VR teleoperation experience - ensuring comfort, precision, and intuitiveness. Build tools for session recording, data annotation, and synchronization to support scalable data collection workflows. Validate performance under realistic wireless network conditions (latency, bandwidth, and signal variability). What We're Looking For M.S. or Ph.D. in Computer Engineering, Robotics, Computer Science, or related field. 5+ years of experience in VR/AR, real time communication, or interactive 3D application development. Proficiency in C++ and Python, with experience in Unity (C#) or similar VR/AR development environments. Strong understanding of low latency video and depth streaming, wireless networking, and real time synchronization. Hands on experience with VR headsets (e.g., Meta Quest, Vive), motion capture (e.g. OptiTrack), and tracking systems (Xsense suit). Proven ability to design and implement intuitive, high performance user experiences in immersive environments. Nice to have: Experience integrating VR based teleoperation or remote presence control systems. Familiarity with WebRTC, ROS 2, or custom real time communication protocols. Understanding of stereo vision, 3D reconstruction, and multi sensor calibration. Background in human computer interaction, spatial UX design, or mixed reality visualization. Strong analytical and debugging skills for real time, distributed systems. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included - we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

About the role As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology. At Applied Intuition, you will: Prototype, evaluate, refine, and deploy state of the art ML algorithms and solutions for defense use cases Leverage established products at Applied Intuition to build the software and infra foundation for behavior specific ML development. Tightly collaborate with perception and planning engineers on many cross team initiatives Work closely with product managers to understand requirements and translate them into technical solutions Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement Stay updated with industry trends, emerging technologies, and best practices to enhance product development We're looking for someone who has: Experience developing autonomous vehicle solutions for aerospace and defense Experience with the end to end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 5+ years of experience building production software using modern software practices Fluency in C++, or fluency in Python with intermediate experience in C++ References who will describe them as low ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners Travel requirements: General willingness to travel for company business between our offices, as well as to customer sites Must have ability to hold UK Security Clearance (current or previous preferred) Nice to have: Publications in computer vision, NLP, or robotics. Experience with drones and flight computers such as PX4. Experience in evaluating and improving system in the loop model performance. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60 1.4(a), 41 CFR .5(a) and 41 CFR .5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Sr. Digital Signal Processing (DSP) Firmware Engineer Job Category: Engineering Building the space between proven and possible, MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics, satellite systems and Geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The MDA Space team of more than 3,000 space experts in Canada, the US and the UK has the knowledge and know-how to turn an audacious customer vision into an achievable mission - bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that's been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we'll take you there. Are you ready to launch the next stage of your career in the new space economy? We would love to hear from you! We're on the hunt for a Sr. DSP Firmware Engineer. MDA's international footprint in the UK creates opportunities to work with some of the most exciting space industrial players in the country. Delivering all three business area capabilities in Geointelligence, Robotics & Space Operations, and Satellite Systems, our UK team provides support to our European-based customers while specializing in the development of advanced space sensors for exploration missions as well as space-based communication technology. As our presence grows overseas, so does our need for new ambitious team players to help us advance our place in the Universe and beyond. Responsibilities: Working as part of a multi-disciplinary team of engineers developing space telecommunication payloads, instruments, and sensors Designing, simulating and implementing digital signal processing algorithms for telecoms and sensing applications Producing firmware design concepts based on inputs ranging from formal ICD & requirements to a wish list of desired functionality in a 'blank sheet' system Producing formal FW requirements where necessary HDL coding (VHDL and / or Verilog), implementation, and testing Troubleshooting hardware and software for space missions Maintaining and extending existing products Suitable candidates will ideally have the following attributes: University degree in an analytical or quantitative discipline (Computer Science, Engineering, Physics, or similar) 5 years + experience in signal processing design and implementation using FPGA Strong skills in VHDL and / or Verilog coding Strong skills in simulation and test of FPGA code Formal configuration control methods C/C++ coding for SoC cores and/or vector processors (e.g. Xilinx Versal FPGA AI Engines) is desirable Ability to lead design teams is desirable Familiarity with 5G/LTE radio stacks desirable Familiarity with radiation mitigation design techniques is desirable We're a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you're excited to expand our place in space and driven to inspire the next generation, we'll take you there. We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA's leadership in this next golden age. Comments/Special Considerations: Right to work: To confirm that you are entitled to take up the position as well as check your nationality and immigration status Identity: Full ID check Criminal records: Basic Disclosure Employment history check: Confirmation of past three years of employment (minimum) history/activity Reference checks Benefits statement: MDA Space provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including private healthcare, disability income protection, life insurance, pension plan; and an employee assistance program. We also have a Hybrid work model in place, for a better work/life balance. Equal opportunity statement: MDA Space is an equal opportunity employer prizing diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please feel free to notify us. Accommodations MDA Ltd. is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs. Location Harwell - Didcot Didcot, OXF OX110GD, GBR

Voxelmaps Careers Thank you for exploring our Career Page. We invite you to explore our current job openings and apply for the position that best aligns with your qualifications. Alternatively, you can submit a general application using the link provided below. Your future with us begins here! Current Openings Position: Senior Mapping Localization Engineer Location: Bristol, United Kingdom Job Id: 423 # of Openings: 1 Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Bristol, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems. Responsibilities Mapping & Localization Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems. Point Cloud Registration & Alignment Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging. Sensor Fusion & Spatial Integration Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines. Coordinate Systems & Transformations Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis. Camera Systems & Optimization Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates. Required Qualifications & Skills BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field. 5+ years of experience in robotics, mapping, computer vision, or geospatial systems. Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction. Strong C++ and Python skills. Experience with numerical optimization and geometry libraries. Technical Experience SLAM / Optimization GTSAM Ceres Solver g2o Factor graph optimization Bundle adjustment Point Clouds / Registration PCL Open3D ICP / NDT registration LiDAR processing Computer Vision OpenCV Camera models Calibration methods Pose estimation SfM / photogrammetry Robotics ROS / ROS2 Sensor synchronization GNSS / IMU integration State estimation Geospatial Coordinate reference systems Geodesy PROJ GDAL Transformation pipelines Preferred Qualifications Experience with large-scale mapping systems or mobile mapping platforms. Experience processing city-scale LiDAR datasets. Understanding of uncertainty propagation and covariance modeling. Experience with multi-session localization and map fusion. Background in photogrammetry or visual-inertial systems. Publications or open-source contributions in SLAM, mapping, or calibration. Work Environment This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones. Job Details Timeline: For immediate hire Job Type: Full Time / Permanent, with benefits required by law Location: Bristol, UK Work Model: Remote, hybrid or office-based depending on selected candidate location Pay: £85,000 - £105,000 per year, depending on experience EEO Statement: Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results. Pay Range: £85,000 - £105,000 per year

Senior Mapping Localization Engineer - Oxford, United Kingdom (Hybrid) Job Id: 422 # of Openings: 1 Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Oxford, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems. Responsibilities Mapping & Localization Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems. Point Cloud Registration & Alignment Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging. Sensor Fusion & Spatial Integration Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines. Coordinate Systems & Transformations Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis. Camera Systems & Optimization Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates. Qualifications BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field. 5+ years of experience in robotics, mapping, computer vision, or geospatial systems. Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction. Strong C++ and Python skills. Experience with numerical optimization and geometry libraries. Technical Experience SLAM / Optimization GTSAM Ceres Solver g2o Factor graph optimization Bundle adjustment Point Clouds / Registration PCL Open3D ICP / NDT registration LiDAR processing Computer Vision OpenCV Camera models Calibration methods Pose estimation SfM / photogrammetry Robotics ROS / ROS2 Sensor synchronization GNSS / IMU integration State estimation Geospatial Coordinate reference systems Geodesy PROJ GDAL Transformation pipelines Preferred Qualifications Experience with large-scale mapping systems or mobile mapping platforms. Experience processing city-scale LiDAR datasets. Understanding of uncertainty propagation and covariance modeling. Experience with multi-session localization and map fusion. Background in photogrammetry or visual-inertial systems. Publications or open-source contributions in SLAM, mapping, or calibration. Work Environment This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones. Job Details Timeline: Immediate hire Job Type: Full Time / Permanent (benefits required by law) Location: Oxford, UK Work Model: Remote, Hybrid, or Office-based depending on location Pay: £85,000 - £105,000 per year (based on experience) EEO Statement Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

Job Description Salary: £55k to £65k Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Working within our Helicopter division, you will be taking ownership of complex mission system software component, ensuring legacy systems remain robust, while simultaneously leveraging open architectures to ensure our future uncrewed systems are modular, portable, and ready for the next generation of autonomous missions. What you'll do as Software Engineer - Mission Management Systems Dual-Platform Architecture: Generate robust, scalable software models and detailed component designs using UML for both legacy manned and new uncrewed mission computers. Open Architecture Integration: Champion the use of Modular Open Systems Approaches (e.g., FACE/MOSA) to ensure future software portability across autonomous fleets. High-Integrity Implementation: Develop deterministic, mission-critical real-time software components (primarily in Ada95/C/C++), balancing the need for rigorous memory management with the processing demands of autonomous systems. Requirements & Traceability: Capture, analyse, and manage complex system requirements, ensuring traceability using DOORS across both manned and unmanned capability drops. Verification & Integration: Construct test harnesses, execute unit testing, and conduct hardware-in-the-loop integration to prove both traditional HMI functionality and complex autonomous behaviours. Navigating Certification: Produce and maintain standard engineering documentation. You will ensure legacy systems meet DO-178C requirements while actively helping the team navigate the emerging regulatory and certification hurdles associated with uncrewed systems. Cross-Functional Leadership: Act as a technical authority during discussions with customers, suppliers, and multi-disciplinary teams to ensure autonomous and legacy software delivers the required operational capability within agreed budgets. What you'll bring Experience: Broad experience in the full software development lifecycle for real-time, high-integrity embedded systems. Core Technical Stack: Strong proficiency in Ada95, C, or C++. Extensive experience with UML modelling and requirements management via DOORS. Operating Environments: Deep understanding of Real-Time Operating Systems (RTOS), multi-tasking environments, and command-based OS (Linux, UNIX). Regulatory Mindset: Practical experience navigating traditional safety standards (like DO-178C), coupled with a strong appetite for tackling the unique integration and certification challenges of autonomous systems. Mindset: A proactive architect who thrives in a transitional environment, capable of respecting the rigor of manned aviation while innovating for the uncrewed future. It would be great if you bring specific knowledge or a strong interest in any of the following areas Advanced Architecture: Integrated Modular Avionics (IMA), Modular Open Systems Approach (MOSA), Future Airborne Capability Environment (FACE), and Model-Based Systems Engineering (MBSE / SysML). Autonomy & Future Tech: Exposure to autonomous flight rules, robotics/automation technologies, AI/Machine Learning, or modern languages (Rust, C#, Java) as they apply to future uncrewed mission systems. Tactical Domain: Military Tactical Communication, Sensor, and Weapon systems integration for both crewed and uncrewed platforms. Avionics & Hardware: Integration with Aircraft Electrical Systems and networking protocols (IP/Ethernet, Mil-Std 1553, ARINC429). Security Clearance This role will require National Security Vetting to SC level. It is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. A range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. Accessibility At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Location Primary Location: GB - Yeovil - Lysander Rd Contract Type Permanent Hybrid Working Hybrid

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy. This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company. You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence. This is a highly strategic leadership role with significant influence over the future operating model of the company. What You'll Do: AI Transformation Strategy Define and execute Humanoid's enterprise AI transformation vision and roadmap. Develop a company-wide AI strategy aligned with business objectives and growth plans. Establish priorities, investment frameworks, and governance structures for AI initiatives. Advise executive leadership on emerging AI opportunities, risks, and market developments. Build an AI-first culture focused on innovation, productivity, and continuous improvement. Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization. AI Operating Model & Continuous Improvement Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel. Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritize, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organization. Enterprise AI Governance Establish policies, standards, and controls for responsible AI deployment. Define governance frameworks covering: AI ethics and responsible AI Security and cyber risk management Data governance and privacy Human-in-the-loop controls Model evaluation and monitoring Compliance and audit readiness AI vendor and platform governance Ensure all AI solutions align with corporate, legal, and regulatory requirements. Organizational Transformation & Change Management Lead enterprise-wide AI adoption and change management programs. Build AI literacy across leadership teams and employee populations. Establish AI Champions networks and communities of practice. Drive workforce enablement and behavioral change initiatives. Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity. Business Impact & Value Realization Define KPIs and success metrics for AI transformation initiatives. Measure and report: Automation maturity Productivity improvements ROI of AI initiatives User adoption Quality and accuracy outcomes Cost efficiencies Operational performance improvements Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board. Cross-Functional Leadership Lead and mentor AI Leads and transformation teams across the business. Partner closely with: CEO and Executive Leadership Team Business Transformation Engineering IT Finance HR Supply Chain Compliance Cybersecurity Align AI initiatives across functions to avoid duplication and maximize business impact. Promote collaboration between technical and business teams. Innovation & External Ecosystem Continuously evaluate emerging AI technologies, platforms, and market developments. Build relationships with AI vendors, research institutions, industry partners, and startups. Identify opportunities to create competitive advantage through AI. Benchmark Humanoid against leading AI-native organizations and establish best practices. What We're Looking For 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles. Proven track record leading large-scale organizational transformation programs. Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. Experience designing enterprise operating models, governance frameworks, and transformation programs. Strong understanding of business process transformation and continuous improvement methodologies. Experience leading cross-functional initiatives involving business, technology, and operations teams. Exceptional executive communication and stakeholder management skills. Strong analytical, strategic, and systems-thinking capabilities. Demonstrated ability to translate emerging technologies into measurable business outcomes. Experience building AI adoption programs at enterprise scale. Nice to have: Experience building AI Centers of Excellence (CoE) or enterprise AI programs. Experience deploying AI agents and intelligent automation solutions at scale. Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations. Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies. Experience with enterprise knowledge management and AI-driven decision support systems. MBA or advanced degree in Engineering, Computer Science, Business, or a related field. What Success Looks Like: Within your first 12 months, you will have: Established Humanoid's AI Transformation Office and governance framework. Embedded AI maturity assessments into business capability reviews. Delivered multiple AI initiatives with measurable business impact. Built and operationalized an AI-first operating model across engineering and business functions. Increased automation maturity across critical value streams. Improved productivity through AI-enabled workflows and intelligent automation. Created a sustainable AI adoption culture supported by governance, training, and continuous improvement. Positioned Humanoid as one of the world's leading AI-native robotics companies. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.