Staff AI/ML Robotics Engineer
Core
Develop and enhance sensor simulation frameworks for fixed-arm robots and Autonomous Mobile Robots (AMRs) using physics-informed machine learning to close the simulation-to-reality gap.
Role type
Staff AI/ML Robotics Engineer (Simulation)
Builds
Real-time intelligent sensor simulation systems for robotics
Domain
Robotics, Edge AI, Physics-informed Machine Learning
Deliverable
production ML models
Required skills
Physics-informed machine learning (PIML), sensor simulation, domain randomization, noise modelling, sim-to-real transfer, Python, C++, PyTorch, TensorFlow, scientific computing
Preferred skills
Synthetic data generation, sensor hardware calibration, open-source PIML contributions, Nvidia Isaac Sim expertise
Technologies
NVIDIA Isaac Sim, ROS/ROS2, Universal Scene Description (USD), PyTorch, TensorFlow
Responsibilities
Design and implement physics-informed ML models for sensor simulation; Develop and optimize simulation workflows combining physics-based and data-driven approaches; Collaborate with hardware and AI engineers to integrate simulation outputs; Apply techniques to reduce sim-to-real gap; Stay current with PIML and robotics advancements; Utilize simulation platforms for development
