Senior Autonomy Engineer (SLAM & Navigation)

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
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We're hiring a Senior Autonomy Engineer (SLAM \& Navigation) to join our team. In this role, you will bridge the gap between classical spatial geometry and next\-generation AI. You will lead the design and development of robust state estimation, long\-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock\-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real\-world environments.

What You'll Do
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• Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.


• Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.


• Architect and maintain robust long\-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.


• Build and scale auto\-labeling data pipelines that leverage foundation geometry models to generate high\-fidelity spatial ground truth for downstream ML training.


• Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.


• Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra\-low latency execution on edge compute.


• Translate cutting\-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.

• Deep expertise in classical SLAM and multi\-view geometry, including extensive hands\-on experience with state estimation, visual/LiDAR odometry, and multi\-sensor fusion.


• Experience handling backend map optimization and solving the unique structural challenges associated with long\-term mapping in large or changing physical environments.


• Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.


• Proven ability to build scalable data pipelines or auto\-labeling workflows tailored for geometric and spatial datasets.


• Proficiency in C\+\+ and Python, with a track record of writing clean, highly parallelized, production\-grade algorithmic code.


• Hands\-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real\-world robotics.


• A research\-to\-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.

• 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.

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