Senior Autonomy Engineer - SLAM & Navigation
HumanoidVisit Humanoid website
UK-based AI and robotics company building commercially scalable humanoid robots for industrial deployment.
London, United Kingdom
Funding history
About Humanoid
Humanoid develops industrial humanoid robots and its proprietary KinetIQ AI framework for real-world tasks across manufacturing, logistics, and related environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design SLAM and state-estimation pipelines, integrate machine learning into localisation, build long-term mapping and auto-labeling systems, combine geometry with deep learning, deploy spatial software on robots, benchmark edge performance, and translate spatial AI research into reliable navigation software.
Requirements
- Expertise in SLAM and multi-view geometry
- State estimation
- Visual and LiDAR odometry
- Multi-sensor fusion
- Backend map optimization
- Long-term mapping
- Machine learning for geometric problems
- Foundation geometry models
- Scalable data pipelines or auto-labeling workflows
- C++
- Python
- Parallelized production algorithmic code
- Navigation-system deployment on physical hardware
- Knowledge of edge-compute constraints
Responsibilities
- Design and scale SLAM pipelines for localisation and state estimation
- Integrate foundation geometry models and ML into localisation, tracking, data association, and visual odometry
- Architect and maintain long-term mapping systems
- Build auto-labeling pipelines for spatial ground truth
- Build hybrid geometry and deep learning systems for metric trajectories
- Deploy and benchmark spatial AI software on robot hardware
- Evaluate spatial AI research to guide the navigation roadmap
Benefits
- Stock options
- 30+ paid days off, including annual leave, UK bank holidays, and company closure days
- Private healthcare
- Pension scheme with 8% total contribution
- Free daily breakfast, catered lunch, and snacks