AI Perception Engineer – Robotics & Spatial Intelligence

Palo Alto

🎯 **Role Details** * Design and deploy **real-time SLAM and state-estimation systems** for humanoid and mobile robotic platforms * Build **multi-sensor fusion pipelines** (RGB-D, stereo, LiDAR, IMU, tactile) * Develop **neural scene representations** including NeRFs, neural occupancy grids, and signed distance fields * Bridge **classical geometry-based perception** with **learning-based spatial models** * Enable long-horizon **3D world modeling** for manipulation and interaction * Integrate perception outputs into **VLA (Vision-Language-Action) systems** * Improve robustness under **occlusion, motion blur, lighting changes, and sensor noise** * Support **sim-to-real transfer** using synthetic data and domain randomization * Collaborate closely with robotics, controls, and learning teams ⚡ **Requirements** * MS or PhD in Robotics, Computer Vision, Computer Science, or equivalent experience * Strong background in **SLAM, state estimation, and sensor fusion** * Deep understanding of **3D geometry, multi-view geometry, and camera models** * Experience with **NeRFs, neural occupancy, or implicit scene representations** * Familiarity with **Vision-Language-Action (VLA)** or embodied AI systems * Proficiency in **Python and C++** on Linux * Hands-on experience with **real robot perception stacks** * Comfortable working with **large datasets and long-running experiments** * Self-driven, systems-oriented, and excited about real-world deployment **Bonus** * Experience with tactile or event-based sensors * Background in **Gaussian splatting, neural SDFs, or hybrid map representations** * Experience integrating perception into manipulation pipelines * Familiarity with Isaac Sim, MuJoCo, or photorealistic simulators