Member of Technical Staff – Robotics and Physical AI (AI2523)

Job Title: Member of Technical Staff – Robotics and Physical AI         

 Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)     

Job ID: AI2523    

Job Description:   

We are seeking an exceptional Member of Technical Staff to join our Robotics and Physical AI team. This role will focus on building vision-based perception, localization, and navigation systems for autonomous mobile robots, drones, and future robotic platforms.  

The ideal candidate has deep hands-on experience in computer vision, visual-inertial odometry, visual SLAM, and autonomous navigation. They should be comfortable working across traditional geometric vision methods and modern deep-learning-based approaches, with experience deploying these systems on embedded or edge-compute platforms.  

This is a senior individual-contributor role with opportunities to lead technical direction, mentor engineers, and influence the long-term development of our robotics and Physical AI solutions.  

Key Responsibilities:  

• Architect and develop vision-based perception, localization, mapping, and navigation systems for AMRs, drones, and other robotic platforms.
• Develop and integrate visual odometry, visual-inertial odometry, visual SLAM, sensor fusion, and 3D scene-understanding pipelines.
• Apply both traditional computer vision and deep-learning techniques for feature extraction, object detection, segmentation, depth estimation, tracking, and obstacle understanding.
• Optimize and deploy computer vision and AI workloads on embedded and edge-compute platforms.
• Collaborate with robotics, hardware, AI, and systems teams to validate solutions in simulation, hardware-in-the-loop environments, and real-world deployments.
• Provide technical leadership, mentor engineers, and contribute to the long-term vision for robotics and Physical AI.  

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.  

Preferred 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. 

Personal attributes:       

Can-do attitude. Strong team player. Curious, creative and good at solving problems. Execution and results-oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills. 

The annual salary for this position ranges from $176,200 - $281,900. The actual annual salary offered will depend on several factors, including -