Senior Perception Learning Engineer

📋 Description

• Lead research and development of perception systems for humanoid robots to enable robust autonomy
• Design and optimize deep learning models for real-time detection, tracking, segmentation, and scene
• Integrate multi-sensor data (Cameras, LiDAR, depth, IMUs) into unified world models to support
• Collaborate across RL, platform software, and systems teams; mentor junior engineers; shape
• Ensure latency, accuracy, and reliability requirements on edge devices through profiling, testing
• Define perception-to-action interfaces with planning and control teams for real-time compatibility.

🎯 Requirements

• MS/PhD in CS, Robotics, Computer Engineering, or related field.
• 3-5+ years building/deploying perception systems in robotics/real-time vision.
• Strong CV deep learning background: detection, segmentation, multi-object tracking, 3D perception.
• Hands-on with PyTorch, JAX, or TensorFlow; OpenCV, Detectron2, YOLO; foundation models for
• Python and modern C++; software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, probabilistic estimation (EKF/UKF, SLAM, VIO).

🎁 Benefits

• Direct hire with opportunity to impact humanoid robotics at scale.
• Collaborative, human-centered work culture focusing on safety and real-world impact.
• Competitive compensation and equity in a fast-growing robotics company.