humanoid - Senior Autonomy Engineer (SLAM & Navigation)
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Requirements
• 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.
Responsibilities
• 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.
Benefits
• 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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