Robotics Engineer
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- Build motion/control foundations and robotics perception
- Localize, map, plan and control in real time
- Deploy safe, observable robots on production hardware
Benchmark: Amazon Robotics + FieldAI roles (Sep 2026): C++/ROS2, multimodal perception/SLAM, planning/control, embedded GPU, simulation/replay, safety + field debugging Mastery ladder: 2 job-market competencies per level; 2 direct VIDEO bridges per competency (12 total).
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Build motion/control foundations and robotics perception
Robot kinematics, dynamics + feedback control
Coverage: Robotic Systems / Control Systems
Perception, detection/segmentation + sensor geometry
Coverage: Computer Vision / Robotic Perception
Localize, map, plan and control in real time
State estimation, SLAM + multimodal sensor fusion
Coverage: Autonomous Systems / Localization & Mapping
Motion planning, navigation + control architecture
Coverage: Autonomous Systems / Robotic Systems
Deploy safe, observable robots on production hardware
ROS2, embedded GPU + hardware/model integration
Coverage: Computer Engineering / Physical AI / Robotic Systems
Simulation, replay + safety/field validation
Coverage: Systems Engineering / Autonomous Systems
Role-Readiness Proof / Capstone
Build and validate a production-style ROS 2 autonomous robot: model/control; calibrated camera/LiDAR/IMU frames; perception plus fusion/SLAM; navigation and planning; C++/embedded-GPU deployment path; latency/CPU/GPU/memory budgets; simulation and sensor-log replay; hardware-in-loop or real-robot testing; safety envelope/fail-safe behavior; telemetry, regression tests, and a field-failure RCA.
Proof Rubric
- Measure localization error, perception quality, planning success, control tracking and end-to-end latency
- prove calibration/time-sync/frame correctness
- show robust ROS2 interfaces and resource budgets
- reproduce failures in sim/replay
- validate safety behavior
- document field debugging, regression evidence and production-ready tradeoffs