Staff AI/ML Robotics Engineer
Tasks
- Adopt innovations in physics informed machine learning and sensor simulation
- Apply noise modeling and domain randomization to reduce sim to real gap
- Build simulation workflows using NVIDIA Isaac Sim ROS ROS2 and USD
- Design physics informed machine learning models for sensor simulation
- Develop and optimize simulation workflows for sensors
- Integrate simulation outputs into real world systems
- Use physics based constraints for physical realism
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Domain Randomization | Inertial Measurement Units | Isaac Sim | Lidar | Machine Learning | NVIDIA Isaac | NVIDIA Isaac Sim | Noise modeling | Physics-informed machine learning | PyTorch | Python | RGB-D | ROS | ROS2 | Scene description | Scientific Computing | Sensor Simulation | Signal Processing | Sim-to-Real | Synthetic data | TensorFlow | ToF | Universal scene description
Education
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