Software Engineer, Localization

Job description

Job responsibilities

• Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++.
• Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state.
• Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets.
• Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware.
• Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight.
• Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality
• Implement fault detection and graceful degradation for harsh conditions (blur, low‑light, vibration, RF denial).
• Integrate global aids (maps, magnetics, radar) for long‑term consistency and loop‑closure robustness.

Job requirements

• Stellar software ability: Modern C++ on Linux; Python for tooling/analysis; strong debugging, profiling, testing discipline.
• SLAM/state estimation: Error-state EKF/UKF, factor graphs, nonlinear least-squares (Ceres/GTSAM), observability and covariance tuning.
• Vision experience VIO/SLAM, camera models, optical flow/feature tracking; comfort with deep learning for detection/seg/pose (PyTorch) and on-edge deployment.
• Sensor integration: IMU strapdown and biases, GNSS/RTK; multi-camera, LiDAR, radar, magnetometer, barometer.
• Ship and fly: Proven research-to-production delivery and field testing on real platforms.
• 5 years of experience with either a BS/MS/PhD in Computer Science, Robotics, Electrical/Aerospace Engineering, or related field, or equivalent practical experience.
• Experience with CUDA/TensorRT/ONNX Runtime; NVIDIA Jetson pipelines.
• Exposure to ROS 2, PX4/ArduPilot integration