Member of Technical Staff – Robotics and Physical AI (AI2523)
$176,200–$281,900 year
On-siteSan Jose, California, United States
Job Summary
Architect and develop vision-based perception, localization, mapping, and navigation systems for autonomous mobile robots, drones, and robotic platforms. Build and integrate visual odometry, visual-inertial odometry, visual SLAM, sensor fusion, and 3D scene-understanding pipelines using traditional geometric vision and deep-learning techniques. Optimize and deploy computer vision workloads on embedded and edge-compute platforms while collaborating with robotics, hardware, and AI teams to validate solutions in simulation and real-world environments. Provide technical leadership, mentor engineers, and drive long-term development of robotics and Physical AI solutions. This senior individual-contributor role offers a salary range of $176,200 - $281,900 plus equity and benefits, with full-time on-site presence in San Jose, CA.
Required Qualifications
- Master's or Ph.D. in Robotics, Computer Vision, Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience
- 8+ years of experience developing perception, localization, or navigation systems for autonomous robots
- Strong proficiency in C++, Python, and ROS or ROS 2
- Deep experience with visual odometry, visual-inertial odometry, visual SLAM, multi-view geometry, camera calibration, and sensor fusion
- Strong foundation in traditional computer vision, including feature detection and matching, optical flow, epipolar geometry, pose estimation, triangulation, and bundle adjustment
- Experience with deep-learning-based computer vision, including object detection, semantic or instance segmentation, depth estimation, tracking, or scene understanding
- Hands-on experience with frameworks such as OpenCV, PyTorch, TensorFlow, or equivalent tools
- Experience deploying vision and AI workloads on embedded Linux or edge-compute platforms
- Strong systems integration, debugging, performance optimization, and real-world deployment experience
- Must be able to lift 50 lbs
Desired Qualifications
- Experience with one of drone navigation, AMRs, or other GPS-denied autonomous systems
- Experience with stereo vision, monocular depth, dense mapping, neural reconstruction, occupancy estimation, or BEV-based perception
- Familiarity with transformers, vision-language models, diffusion models, world models, or vision-language-action systems
- Experience with simulation and testing platforms such as Gazebo, Isaac Sim or others
- Demonstrated innovation through patents, publications, or deployed commercial systems
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