Member of Technical Staff Robotics Simulation

What you'll do

• Design and maintain physics-based simulation frameworks for robot dynamics, contact modeling, and environmental interactions.
• Implement realistic sensor models, actuator behaviors, and communication protocols that mirror real-world hardware.
• Develop sim-to-real workflows using domain randomization and system identification to minimize the gap between simulation and reality.
• Create asset toolchains to integrate industry-standard formats like USD, URDF, and MJCF into 3D content pipelines.
• Build infrastructure for large-scale reinforcement learning training with parallelized environments and distributed ML integration.
• Develop automated testing and evaluation frameworks to validate robotics algorithms and autonomous behaviors.
• Lead architectural decisions for selecting and customizing simulation engines based on performance and scalability requirements.
• Integrate telemetry and logging systems to monitor simulation fidelity, performance metrics, and training pipeline health.

What we're looking for

• Bachelor's degree in Computer Science or a related technical field is required, or equivalent experience.
• 4+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python is required.
• Candidates must be able to pass the Microsoft Cloud Background Check and other applicable security screenings.
• Extensive experience in physics simulation engineering including rigid-body dynamics, contact modeling, or real-time physics engines is preferred.
• Experience with robotics simulation platforms like Isaac Sim, MuJoCo, Gazebo, or Drake is preferred.
• A background in 3D graphics, real-time rendering, or game engine development (Unity, Unreal) is preferred.
• Proficiency in Python and C++ for distributed computing and GPU-accelerated simulation is preferred.
• Experience with ML frameworks like PyTorch, JAX, or TensorFlow integrated with simulation environments is preferred.