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 We're hiring a Staff Controls Software Engineer to join our Controls team based in London. We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems. This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You'll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale. You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline - designing architectures that perform reliably in real-time environments. What You'll Do Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation. Implement high-performance control loops and middleware interfaces for deterministic, safe operation. Industrialize algorithms, ensuring production readiness, maintainability, and performance. Establish clear software boundaries and interfaces between motion planning, control, and hardware layers. Translate research prototypes into scalable, maintainable, and testable control software. Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation). Define reliability, latency, and safety metrics and enforce them throughout the control stack. Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets. Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing). Drive release and version management of the control stack, ensuring stability across branches and deployments. Conduct profiling, benchmarking, and performance validation on robotic hardware. Define release protocols to ensure reproducibility and verifiable system behavior. Implement software based fail safes, watchdogs, and redundancy mechanisms for safety critical control paths. Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions. Lead by example through hands on coding, code reviews, and system level debugging. Mentor engineers on control software best practices, testing methodologies, and performance optimization. Contribute to the long term control software roadmap, guiding architecture evolution and quality standards. What We're Looking For B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field. 10+ years of experience developing robotics control software for real-time systems. Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation. Strong background in control theory, robot kinematics & dynamics, and real-time control systems. Experience in deploying and validating control software both in simulation and on physical robotic platforms. Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing. Excellent debugging, profiling, and system performance optimization skills. Track record of shipping production quality robotics software, not research prototypes. Proven experience managing software lifecycle, including release management and cross team integration. Nice to have: Experience with ROS2, real-time Linux, or RTOS environments. Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc. Familiarity with safety critical systems, redundancy, and failover mechanisms. Background in whole body control, actuator coordination, or real time trajectory execution. Experience in Joint/Cartesian Impedance and force control Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture. Experience in learning based control methods (e.g. RL, imitation learning) 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 As ERP Functional Lead (Finance & Procurement), you will act as the design authority for Humanoid's ERP solution, with deep, hands-on ownership of Finance and Procurement and overarching responsibility for solution integrity across the wider ERP landscape. This role sits within the IT organisation and partners closely with the ERP Programme Manager and Business Process Owners. You are expected to have deep process and hands-on configuration expertise in Finance and Procurement, while shaping and governing additional functional areas through third-party specialists or future team members who will report into you as the programme evolves. This is a critical role requiring strong judgement, breadth, and execution bias, not a theoretical architect or a narrow finance specialist. Primary design counterpart to Finance and Procurement leadership Functional authority for system integrators and third-party consultants Works in close partnership with: ERP Programme Manager (delivery ownership) Data Architect (data foundations and analytics) IT Ops, Security, and ITSM leads (operability and controls) Business Process Owners What You'll Do ERP Design Authority Act as the functional and solution design authority for ERP across all domains. Own end-to-end functional design for Finance and Procurement, including configuration standards and design principles. Ensure consistency, integrity, and scalability of the overall ERP solution. Review, challenge, and sign off solution designs produced by system integrators. Finance & Procurement Functional Leadership Lead design and configuration across core Finance and Procurement processes, including: Record to Report (GL, AP, AR, Assets, period close) Core controlling and cost structures Procure to Pay (requisitioning, purchasing, goods receipt, invoicing, payments) Master data structures and governance Provide light-touch functional oversight for Order to Cash as required. Ensure designs support operational efficiency, financial control, and auditability. ERP Technical & Architectural Awareness Provide informed functional leadership on ERP technical and architectural decisions, including: ERP extensibility approaches within modern cloud ERP platforms Use of platform extension and integration frameworks (e.g. side-by-side extensions, APIs, event-based integration) Integration patterns and their impact on core ERP design, upgradeability, and long-term maintainability Partner with the IT Director and technical specialists to shape pragmatic, supportable solutions. Ensure functional designs are technically viable and aligned with platform constraints and best practice. Data, Controls & Compliance Provide functional oversight of data models and migration approach. Ensure data structures, ownership, and quality expectations are clear and enforced. Support audit, controls, and segregation-of-duties design, with a strong understanding of financial control implications. Ensure compliance considerations are embedded into functional design, not retrofitted. Testing & Quality Define and own the functional testing strategy, including test scenarios and acceptance criteria. Review and sign off functional test results delivered by the system integrator. Ensure defects are prioritised appropriately based on business and control impact. Delivery Partnership Work closely with the ERP Programme Manager to sequence design, build, and testing activities. Provide clear, timely inputs to enable delivery momentum. Support structured decision-making by articulating functional options, trade-offs, and implications. Team & Capability Evolution Over time, build and lead a broader ERP functional team as required Act as the functional authority for third-party consultants and specialists. Contribute to shaping the future ERP functional capability as the landscape grows. What We're Looking For Strong, hands-on experience delivering modern cloud ERP solutions such as SAP S/4HANA Public Cloud and/or Oracle NetSuite. Deep functional expertise across Finance and Procurement, with the ability to operate independently. Proven experience acting as functional or solution design authority on ERP programmes. Strong understanding of ERP architecture, extensibility, and integration concepts. Comfortable engaging in ERP technical discussions (e.g. extensibility, integrations, platform constraints) even if not a pure technical specialist. Ability to challenge system integrators and vendors confidently and constructively. Pragmatic, execution-oriented mindset with strong attention to detail. Able to operate credibly with senior Finance, Procurement, and IT stakeholders. Nice to have Strong hands-on experience with SAP S/4HANA Public Cloud and/or Oracle NetSuite. Experience in manufacturing, engineering, or product-led environments. Experience operating in scale-up or transformation contexts. Exposure to analytics, reporting, and BI design in ERP contexts. 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'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.

Thehumanoid is looking for a Staff Controls Software Engineer to join the team in London. This role involves leading the development and maintenance of production-grade control software for humanoid robotic systems. Candidates should have over 10 years of experience in robotics control software, excellent skills in C++ and Python, and a strong understanding of real-time systems. The position offers a comprehensive benefits package including 23 days of annual leave, private healthcare, and equity sharing.

Thehumanoid is seeking a Software Control Teleoperation Engineer in London to innovate VR-based teleoperation for humanoid robots. You'll design real-time communication software that integrates human operators with robots via VR headsets and wireless streaming. Candidates should have 5+ years of experience in VR/AR, a master's or doctorate in related fields, and proficiency in C++, Python, and Unity. Enjoy meaningful time off, private healthcare, equity options, and a collaborative environment.

Thehumanoid in Greater London seeks an ERP Functional Lead (Finance & Procurement) to act as a design authority for their ERP solution. This role requires strong hands-on experience with SAP S/4HANA Public Cloud or Oracle NetSuite, deep functional expertise in Finance and Procurement, and the ability to operate independently. You will lead configuration, ensure solution integrity, and provide functional oversight, contributing to a team focused on advancing humanoid 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 are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. What You'll Do Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production What We're Looking For Strong backend engineering skills in Python, Go, or similar Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code Comfort working across the stack from frontend to backend Experience with observability and alerting in systems where failures have real operational consequences Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow Nice To Have Familiarity with workflow engines, state machines, or coordination systems - ideally in a multi-agent or fleet context Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language Experience integrating with third-party enterprise systems (WMS, ERP, or similar) Background in robotics or real-time systems where execution state and side-effects need to be managed carefully 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 Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands on role. You will write production grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. What You'll Do: Develop and maintain device software across the full episode lifecycle: session initialisation, per sensor stream management, episode recording, and graceful shutdown Integrate and synchronise sensor streams - wrist and head cameras, 6 DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally aligned, policy consumable trajectories Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset Own operator facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid episode We're Looking For: Experience in embedded or device level software in a robotics or sensing context - writing code that runs on the device, not just talking to it Proficiency in C++ and/or Python for real time sensor drivers, inter process communication, and data recording pipelines Solid understanding of multi modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue Nice to have: Experience with 6 DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce Exposure to operator facing tooling for data collection: session management, per episode quality summaries, rejection and retry workflows Experience scaling device software from a small number of prototype units to many devices operated by non engineers in the field 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 As a Business Capability Analyst, you will build scalable operational foundations across procurement, inventory, logistics, and finance - redesigning workflows, strengthening governance, and enabling automation through ERP and integrated tools to support fast organisational growth. What You'll Do Build and enhance core business capabilities across procurement, inventory, logistics, and finance spanning processes, roles, controls, automation, and tools. Lead end-to-end redesign of operational workflows and implement scalable operating models that support rapid organisational growth. Drive transformation initiatives that transition teams from manual processes to integrated, automated, and well-governed systems. Define process ownership, roles & responsibilities, and internal controls to ensure compliance, traceability, and clarity across the organisation. Lead the adoption of new processes and tools through structured change management and cross-functional alignment. Define KPIs, SLAs, and governance frameworks to ensure measurable performance and consistent execution. Oversee ERP integrations and digital tool architecture (ERP, Jira, Confluence) to ensure cohesive and scalable digital operations. Manage transformation and process-improvement projects end-to-end, including planning, execution, risk management, and stakeholder communication. Act as an independent driver of continuous improvement, proactively identifying gaps, proposing solutions, and delivering business impact. What We're Looking For 5-10 years of experience in business process design, operational transformation, or business capability development. Strong understanding of business capabilities, operating models, and control frameworks. Proven ability to lead cross-functional change initiatives and drive adoption across operational and technical teams. Experience delivering projects independently, with strong ownership, structure, and attention to detail. Hands-on experience with ERP systems, process automation, Jira, Confluence, and digital tool integration. Ability to work autonomously in a fast-moving environment, propose solutions proactively, and influence stakeholders at all levels. Analytical and structured mindset with strong communication and documentation skills. Passion for solving problems, improving systems, and building scalable organisational foundations. Nice to have: Bachelor's or Master's in Business Administration, Finance, Supply Chain, or related field. 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 Software Engineer to own the CI infrastructure essential for robot development. This role involves building reliable CI pipelines and improving developer experience, significantly impacting how quickly we deliver robots. The ideal candidate has experience with build systems such as Bazel, designing CI pipelines, and a strong understanding of dependency management, alongside collaborating 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.

Thehumanoid is seeking a Senior ML Engineer (VLA & Navigation) in London to advance their cutting-edge humanoid robots. You will lead the design and optimization of spatial understanding systems, focusing on object detection and scene reconstruction. The ideal candidate has deep experience in machine learning, particularly with large models and proficiency in PyTorch. Benefits include 23 days of annual leave, fully funded healthcare, and a pension scheme. Join a team of top-tier engineers and shape the future of embodied AI.

Thehumanoid is hiring a VLA Pre-training Engineer (Deep Learning) in London to enhance their AI robotics through training capable policies using deep learning. You will manage complex data processes, partner with teams for data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years in deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, 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 looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained - and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. What You'll Do: Own Design-for-Serviceability for software: ensure the robot's software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. Collaborate with R&D to build and validate diagnostic scripts, tooling, and self test routines that localise faults as deep as possible in the BOM. Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet pattern detection, and AR guided execution. Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. We're Looking For: Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. Hands on experience diagnosing robots or complex electromechanical systems - you can tell whether a fault is software, firmware, calibration, or hardware. Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. A design for serviceability mindset - you think about the technician in the field, not just the happy path. Disciplined engineering practice and version control (Git). Nice to have: Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. Familiarity with remote diagnostics or fleet telemetry platforms. Experience authoring service documentation or work instructions consumed by non engineers. Exposure to Design for Serviceability / DfMA on a hardware product line. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Work at the frontier - collaborate daily with world class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Thehumanoid, based in Greater London, is seeking a skilled Software Engineer to develop device software for UMI data collection devices. This role requires hands-on experience in embedded software and proficiency in C++ and/or Python. Responsibilities include maintaining the software lifecycle, integrating sensor streams, and ensuring data integrity through effective validation tools. Employees enjoy benefits like private healthcare, competitive pension contributions, and meaningful time off.

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'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.

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 Software Engineer to own the build system and CI infrastructure that every engineer at Humanoid depends on every day. This is foundational work: a slow, unreliable, or opaque build pipeline is a tax on the entire engineering organisation, and getting it right directly determines how fast we can ship robots. We are investing heavily in build infrastructure - hermetic, incremental, fully cached builds across a complex multi-target monorepo spanning firmware, robot software, simulation, and cloud - and we need someone to drive that work and own the system it produces. This is a deeply technical infrastructure role. You will work closely with every engineering team in the organisation, and the quality of your work will be felt by every person who opens a PR. What You'll Do Build and maintain CI pipelines in GitHub Actions: incremental test selection based on affected targets, nightly full builds, and clear triage tooling when main goes red Instrument the build: CI telemetry, dashboards showing build and test times broken down by job type, branch, and author - so we stop flying blind on build health Define and enforce the policies that keep main green: merge queue configuration, PR gating, and the on call process when broken builds block other engineers Own and maintain the remote build cache infrastructure, ensuring cache correctness, invalidation on environment changes, and read only promotion from main only Own the developer environment story - local builds, dependency management, and the tooling that lets engineers iterate quickly without fighting their environment Maintain and evolve the dependency mirroring infrastructure (apt, PyPI, and other upstream registries) so that external package availability never blocks a build What We're Looking For Solid experience with build systems - ideally Bazel, but deep knowledge of CMake or similar is fine; the instincts matter more than the specific tool Experience designing and operating CI pipelines at scale: incremental testing, artifact caching, runner management, and keeping feedback loops short Strong understanding of hermetic build environments Comfort debugging complex build failures across multiple languages and toolchains Experience with dependency management and the tradeoffs between reproducibility, speed, and upstream risk Good instincts for developer experience Nice To Have Familiarity with ROS/ROS2 build tooling (colcon, ament, CMake) Familiarity with Kubernetes: self hosted runners, ARC Experience with GitHub Actions at scale Background in robotics or embedded systems where build artifacts span multiple target architectures and deployment environments 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.