1.5 Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models
Tasks
- Build probabilistic reasoning and trajectory optimization algorithms
- Collaborate with hardware teams for integration
- Communicate progress and capabilities to non technical stakeholders
- Conduct field tests to validate robot performance
- Create real world and simulation learning loops
- Deploy and calibrate robotic systems at customer sites
- Design AI planning and control architectures
- Develop risk aware uncertainty driven decision making
- Implement field foundation models and dynamics foundation models
- Integrate and test ROS based autonomy modules
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Control Theory | Machine Learning | Path Planning | PyTorch | Python | ROS | Trajectory Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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