Thehumanoid

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 Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration. In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team! What You'll Do Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world. Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system. Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains. Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions. Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots. Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments. Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance. What We're Looking For 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go). Experience developing time-sensitive, performance critical applications. Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC. Experience with Linux build environments like Yocto or Buildroot. Experience in building Linux kernels and modifying or writing device drivers. Experience with Nvidia's Jetson platform is a plus. Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics. Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams. Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration. 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.

Thehumanoid is seeking a Senior Platform Software Engineer in Greater London to revolutionize humanoid robotics. This role involves developing core software systems for next-gen robots, including integration of sensors and safety systems. Candidates should have over 5 years of experience in embedded software development, particularly in Linux platforms. The role offers collaboration with top-tier engineers and meaningful benefits, including private healthcare and pension contributions.

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 are looking for a Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities. This is not a standard web QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship. What You'll Do Software Release Testing Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet. Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner. CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges. Policy Evaluations Eval Support: Help design and run policy evaluations for our learned behaviors - defining success criteria, executing trials, and collecting results in a reproducible way. Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests. Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team. E2E Metrics Collection Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust. Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release. Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves. What We're Looking For Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical systems domain. Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++. Robotics Middleware: Working knowledge of ROS2 - you understand topics, services, and how to interact with a running robot. OS: Comfortable in Linux (Ubuntu) - terminal, shell scripting, basic system administration. Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build. Nice-to-Have: Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity). Exposure to Hardware-in-the-Loop (HIL) test benches. Basic electrical debugging skills (multimeter, oscilloscope). Awareness of safety-critical standards (IEC 61508, ISO 26262). Tech Stack Languages: Python (primary), C++ (reading), Bash Robotics: ROS / ROS2 CI/CD: GitLab / GitHub Actions Simulation: NVIDIA Isaac Sim Hardware Interfaces: CAN, EtherCAT, Ethernet 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.

Thehumanoid in Greater London is seeking a Robotics Test Engineer to support software release validation, policy evaluations, and metrics collection on humanoid robots. You will run tests on actual robots, ensuring quality gates are met before deployment while collaborating with the Test Team. Candidates should have 3+ years in software testing, proficiency in Python, and familiarity with ROS2. The role comes with benefits including equity, healthcare, and generous leave policies.

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 strong Manipulation Capabilities Engineer to join our team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don't have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn't work). What You'll Do Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. Come up with data preprocessing strategies to improve the quality of collected data. Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. What We're Looking For 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. Experience with neural network post-training. Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. Good familiarity with modern software engineering practices. Ability to document experiments clearly and communicate trade offs crisply. Nice to have: Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. Experience applying RL to robotics problems. Publications at top-tier robotics or deep learning conferences or equivalent open source contributions. 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.

Thehumanoid is hiring a Manipulation Capabilities Engineer in London. This role involves developing strategies for our robots to manipulate their environment, focusing on applied deep learning and real hardware experience. Candidates should have at least 3 years of experience in robotics and familiarity with neural network post-training. The position includes a collaborative work environment with top-tier engineers and offers significant benefits including equity, private healthcare, and generous leave policies.

Thehumanoid is seeking a Senior Perception Engineer - Spatial Intelligence to enhance our robots' capabilities in navigation and reasoning within real-world environments. Candidates should possess exceptional software engineering skills and a strong background in 3D scene understanding. This role involves working on complex ML systems, ensuring models are effectively integrated into physical robots, and requires proficiency in PyTorch. We offer competitive benefits, including 23 days of annual leave, funded healthcare, and opportunities for collaboration within a vibrant team.

Thehumanoid is seeking a talented Neural Network Performance Engineer to improve the performance of neural network-based control policies in London. This role involves enhancing model efficiency, analyzing performance bottlenecks, and implementing optimizations for neural networks. The ideal candidate has significant experience in deep-learning systems, custom kernels, and GPU architecture, while contributing to innovative robot technology. Coming with competitive benefits including private healthcare and equity ownership, this position promises impactful contributions to AI research 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 Neural Network Performance Engineer to join our VLA team based in London. In this role, you will work on all aspects of running capable neural network based control policies at a high rate with minimal latency, both on cloud hardware and onboard. Your work will be critical to delivering smooth robot motions while reacting to environment changes as quickly as possible. What You'll Do Analyze performance bottlenecks of a particular model architecture and come up with potential improvements. Make the model run on a new hardware (e.g. NVIDIA Thor) efficiently. Implement custom kernels to reduce memory throughput requirements where it matters. Quantize a model with minimal loss of quality. Suggest and implement changes of model architecture that will enable better performance characteristics without sacrificing model capabilities. What We're Looking For 3+ years building deep learning systems (industry or research) with shipped models or published artifacts to show for it. 1+ years experience working on performance of neural network inference (analyzing bottlenecks, writing custom kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade offs crisply. Nice to have: Robotics or autonomous driving experience. Open source code showcasing your ability to improve inference performance. Publications at ICLR/ICML/NeurIPS or equivalent open source contributions. Familiarity with vision language (VLM) or vision language action (VLA) models. 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.

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 are looking for a Senior Hardware Test Engineer to own the test methodology for our hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what "good" looks like - from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands on, technical leadership role. You will design test methods, run them yourself on early prototypes, and then partner with the test automation team to scale them across the fleet as we move from EVT toward production What You'll Do 1 Test Method Definition Component-Level Methods: Define functional, performance, and stress tests for individual hardware components - actuators, sensors, electronics, structural parts - including pass/fail criteria and required data capture. Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. Hands-On Test Execution Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. Automation Support Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably. Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. What We're Looking For Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems - robotics, automotive, aerospace, or similar. Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), and measurement tools (calipers, micrometers, load cells, encoders). Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. Mindset: Systems thinking - you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: Robotics experience, especially with serial-link manipulators or legged systems. Python (or similar) for ad-hoc data analysis and lightweight test automation. CAD (SolidWorks/Fusion/NX) for sketching test fixtures. Familiarity with ROS2. Experience with embedded systems and field buses such as CAN or EtherCAT. What You'll Be Testing Actuators (motors, gearboxes, encoders, drivers) Robot manipulators and end-effectors Legged subsystems and balance behaviors Power and battery systems Full humanoid robot assemblies 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.

Thehumanoid is seeking a Senior Hardware Test Engineer focused on defining test methodologies for hardware components and full humanoid robots. You will lead testing to ensure high standards of performance and reliability, from individual components to whole systems. The role requires expertise in hardware test engineering, with a hands-on approach to design and execute tests, as well as collaborating with automation teams for scaling processes. Generous benefits include 23 days of annual leave, private healthcare, and equity options.

Thehumanoid in Greater London is seeking a Head of Systems Engineering, Integration & Test (SEIT) to lead the execution of the engineering V-Model. The ideal candidate will have over 15 years of experience in systems engineering, with a strong focus on cross-functional integration and system verification. Responsibilities include driving architecture, ensuring test readiness, and managing program-level risks. The role offers competitive benefits, including private healthcare and substantial annual leave.

Thehumanoid is looking for a Senior Systems Engineer to join their team in London. You will be responsible for leading the creation of system-level requirements using Model-Based Systems Engineering (MBSE) methodologies. The role involves collaborating with cross-functional teams, developing technical requirements for robotic systems, and ensuring architectural and requirement integrity. Ideal candidates will have a background in Systems Engineering, with at least 5 years of experience and expertise in MBSE tools. Benefits include 23 days of leave, private healthcare, and a pension scheme.

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 are seeking a Senior Systems Engineer to join our innovative team based in London. In this role, you will lead the creation and management of system-level and technical functional requirements using MBSE methodologies, ensuring a robust, traceable, and integrated system definition for our robotic platforms.Your focus will include developing a deep technical understanding of system and subsystem technical requirements, leveraging that knowledge to create and maintain the system model (e.g., in Matlab System Composer), and supporting the derivation of engineering artifacts and the validation of resulting designs, collaborating closely with subject matter experts (SMEs) across technical domains. To excel in this position, you must showcase your ability to influence, adapt to dynamic environments, make decisive judgments under pressure, and establish a clear technical vision for implementing Model-Based Systems Engineering methodologies. What You'll Do Obtain inputs from System Technical Leaders and SMEs to translate stakeholder needs into verifiable requirements within the system model. Develop and document technical-level requirements for robotic systems, capturing them and their relationships within the system model. Define and maintain the system architecture, interfaces, and behavior using a Model-Based Systems Engineering (MBSE) approach. Influence the development of Engineering artifacts, their technical direction and ultimately stakeholder satisfaction by ensuring model consistency and integrity. Identify and analyse the interfaces and interactions across systems/components boundaries using the system model as the single source of truth. Collaborate with cross-functional teams (mechanical, software, and controls) to ensure system requirements and architectural models are cohesive and achievable. Provide expertise and guidance to ensure our engineers understand the problem completely and stakeholder needs through effective coaching on MBSE and Systems Engineering practices (early and later lifecycle stages). Ensure the appropriate level of concepting, modelling and simulation techniques are used across the lifecycle to inform architectures and solution options, leveraging model simulation capabilities. Track the status of requirements and their verification/validation throughout the product development lifecycle using model-based traceability. Troubleshoot and resolve complex system-level issues by tracing them back to the architectural and requirements definitions in the system model, in collaboration with the development team. Maintain detailed documentation, including system architectures, requirement traceability matrices, and test reports. Ensure that designs comply with relevant standards and certifications. What We're Looking For Bachelor's or Master's degree in Systems Engineering, Computer Science, or related field. 5+ years of experience in systems engineering with a focus on defining complex systems, preferably in robotics, automation, or similar industries. Expertise in Model-Based Systems Engineering (MBSE) methodologies and tools (e.g., SysML, Cameo Systems Modeler, Sparx Enterprise Architect, Rhapsody). Demonstrated experience in developing and maintaining system models (architecture, requirements, behavior) for complex embedded systems. Experience with requirements management tools (e.g., DOORS, Jama, Polarion). Excellent analytical, problem-solving, and decision-making skills. Strong verbal and written communication skills, with the ability to convey complex ideas, particularly model-based concepts, to diverse stakeholders. Proven leadership skills with the ability to drive MBSE adoption and mentor team members. 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.

Thehumanoid is seeking a Senior Software Engineer to develop and maintain application level software for humanoid robots. This role involves integrating multiple software components and debugging robotic systems in both simulated and physical environments. Ideal candidates will have at least five years of experience, strong proficiency in C++, and a solid understanding of robotic subsystems. The position offers extensive benefits including private healthcare, equity sharing, and a supportive team environment.

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 are looking for a Senior Software Engineer to help transform our advanced robotics stack into a dependable product ready for the real world. This is a deeply technical and hands on role. You will write production code, integrate subsystems, and work directly with robots in both simulation and real hardware environments. You will be part of a focused team responsible for the application level software that connects control, navigation, perception, learning, and platform systems. Your work will ensure that these components operate as a coherent and reliable system that users can interact with seamlessly. This role involves close collaboration with engineers across multiple domains. You will contribute to architectural decisions, build prototypes, and iterate quickly. It is well suited to someone who enjoys working close to hardware and solving practical, cross disciplinary challenges. What You'll Do You will develop and maintain application level software for humanoid robots. You will integrate software components from controls, navigation, computer vision, reinforcement learning, and platform teams. You will contribute to the structure and evolution of the application architecture and its interfaces. You will work closely with the product and engineering teams to define priorities and deliver robust features. You will debug complex robotic systems in both simulated and physical environments. You will support on site validation efforts when needed and contribute to field testing. What We're Looking For You have at least five years of experience in robotics or a closely related field. You are highly proficient in C++ and have experience delivering production grade software. You have a solid understanding of robotic subsystems including control, perception, navigation, and learning. You are familiar with ROS or ROS2 or equivalent middleware platforms. You are comfortable reading, understanding, and integrating code from a range of other engineering teams. You have experience debugging systems on hardware and enjoy hands on problem solving. You are a strong communicator and collaborative team member, able to work effectively across disciplines. 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.

Thehumanoid in Greater London is seeking a Robotic Test Engineer to support software release validation and robotics testing. You will execute end-to-end test pipelines on real robots, ensuring quality in each new software version. The ideal candidate has 3+ years in software test engineering, strong Python skills, and knowledge of robotics middleware such as ROS2. The position offers meaningful time off, private healthcare, and a collaborative work environment.

Thehumanoid is hiring a Senior Dev/MLOps Engineer to join their Data & Compute Platform team in London. This role involves managing the lifecycle of ML models and infrastructure, building CI/CD pipelines, ensuring system reliability and security, and collaborating with cross-functional teams. Candidates should have strong Python skills and experience with cloud platforms like AWS or Azure. The position also offers meaningful benefits including healthcare and a pension scheme.

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 Dev/MLOps Engineer to join our Data & Compute Platform team based in London. What You'll Do Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. Document infrastructure, workflows, and operational procedures clearly and thoroughly. What We're Looking For Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and problem-solving skills across distributed systems. Excellent collaboration and communication skills, with experience working in cross-functional teams. Understanding of security and compliance best practices for both software and ML 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.

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 Principal Systems Architect to join our Systems Engineeeing team based in London. What You'll Do Develop and implement technical strategies aligned with the company's mission and long-term goals. Collaborate with cross-functional leads and subject matter experts to architect robust, scalable systems that satisfy product requirements. Define and manage system-level requirements and ensure alignment across all engineering teams. Create and maintain system documentation, including block diagrams, interface specifications, and design narratives. Present architectural directions, trade-offs, and technical roadmaps to the leadership team. Lead trade studies and apply structured, evidence-based decision-making to guide critical design choices. Identify and resolve performance bottlenecks, ensuring architectural efficiency, reliability, and scalability. Stay up-to-date on industry trends, emerging technologies, and best practices relevant to robotic system design. Establish technical standards and best practices, ensuring compliance with industry regulations and safety guidelines. Identify and mitigate technical risks throughout the development lifecycle. Guide system integration efforts and coordinate with mechanical, electrical, software, and AI teams. Support system integration efforts to ensure high system performance and reliability. What We're Looking For Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. 15+ years relevant industry experience in technical leadership positions, including 5+ years of experience in system architecture design, preferably in robotics or complex embedded systems. Strong knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems. Proficiency in hardware-software co-design, real-time computing, and middleware frameworks Experience with AI/ML integration, sensor fusion, and autonomous decision-making systems. Familiarity with embedded systems, microcontrollers, FPGAs, and high-performance computing platforms. Understanding of wireless communication protocols, power management strategies, and battery technologies. Experience with system simulation tools such as Gazebo, Simulink, or similar modeling environments. Strong problem-solving skills and the ability to manage trade-offs between performance, cost, and complexity 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.