Applied Robotics Engineer
Core
Bridge AI research with physical world deployment by taking models from simulation to real hardware under constraints like limited compute and noisy sensors.
Role type
Applied Robotics Engineer (System Integration & Deployment)
Builds
AI-driven robotics systems deployed on partner hardware
Domain
Robotics, AI, Simulation, Edge Computing
Deliverable
production ML models
Required skills
Python, PyTorch, C++, inference optimization, quantization, model distillation, TensorRT, ONNX, RL, imitation learning, sensor fusion, control systems, robotics middleware, edge compute
Preferred skills
Unity, Unreal, Isaac Gym, inverse dynamics, learning from demonstration
Responsibilities
Post-training and evaluation of AI models on real hardware, system integration with legacy control systems, debugging model failures in physical environments, closing the loop between field failures and research, explaining model capabilities to partners
Seniority
Senior, hands-on IC
