Field AI  is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. 
 
 
 
 
 About the Job 
 
 
 
 
 We’re building the estimation and navigation stack that keeps our legged and humanoid robots balanced, aware, and mission-ready—indoors and out, with or without GPS. You’ll design and ship real-time estimators and fusion pipelines that combine IMU and GNSS/GPS/RTK with legged-robot proprioception (joint encoders, torque/force & foot-contact sensors) and exteroception (cameras, LiDAR , radar/ UWB ). You’ll take algorithms from log-replay to rugged field performance on embedded/Linux targets, partnering closely with controls, perception, and planning.
What You’ll Get To Do
• State Estimation for Legged/Humanoid Bases
• Design and tune EKF/UKF error-state filters for floating-base pose/velocity, COM , IMU biases, and contact states.
• Fuse IMU, joint encoders, foot F/T & contact sensors; implement ZUPT/ZARU , slip handling, and kinematic/dynamic constraints.
• Expose clean interfaces (frames/timestamps/covariances) to whole-body control and footstep planning.
• Perception-Aided Localization & Mapping
• Stand up VIO/LIO pipelines (stereo/ RGB-D + LiDAR) for GPS-denied operation, with map-based relocalization and loop closure.
• Add global aids— GNSS/RTK , UWB beacons, prior maps—and blend filtering with factor-graph smoothing when advantageous.
• Manage drift/consistency with robust outlier rejection, gating, and integrity monitoring.
• Calibration, Timing & Robustness
• Own time sync ( PTP /Chrony/hardware triggers) and multi-sensor calibration (Allan variance for IMU, camera-IMU/LiDAR-IMU/base extrinsics, encoder offsets).
• Build health monitoring, FDIR , and graceful-degradation behaviors for harsh terrain and intermittent sensors.
• Establish KPIs ( ATE/RTE , NEES/NIS , availability) and automated regression tests.
• Tooling, Simulation & Field Operations
• Create log-replay pipelines, datasets, and dashboards for rapid iteration and performance tracking.
• Validate in sim (Gazebo, Isaac etc) and in the field (stairs, rubble, ramps, slippery floors).
• Optimize and deploy on embedded targets (Jetson/x86), profiling latency, memory, and numerical stability.
The Extras That Set You Apart
• Factor-graph SLAM/VIO (GTSAM/iSAM2) and non-linear solvers (Ceres/g2o); hybrid filtering + smoothing in production.
• Whole-body/legged tooling, momentum/ COM filters, terrain estimation, and contact-rich datasets.
• Robustness techniques: adaptive noise models, M-estimators/gating, data association, map-based relocalization.
• Experience with GPS-denied navigation at scale (warehouses, construction, urban canyons).
• Real-time/performance chops ( RT-PREEMPT , lock-free pipelines, deterministic logging, on-robot telemetry).
• Embedded/GPU acceleration ( Nvidia / CUDA ) for perception-aided estimation.
• Designing calibration & end-of-line test procedures for production.