Principal Robotics Simulation Architect - TX, Austin, United States

Originally posted 1 June 2026 by the employer.

About the role

As a Principal Robotics Simulation Architect at AMD, you will be responsible for selecting and advancing simulation architecture solutions tailored for robotic systems. The position centers on robotics simulation stacks, including digital twin development, sim-to-real/real-to-sim pipelines, cloud-based simulation infrastructure, and AI integration within autonomous environments.

What you'll do

- Build and refine pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems using domain randomization and adaptation techniques. - Architect and deploy scalable simulation infrastructure on cloud platforms to support parallel simulation runs, distributed training environments, and on-demand access for robotic use cases. - Provide technical leadership in integrating AI/ML frameworks into simulation environments for reinforcement learning, synthetic data generation, autonomous behavior training, and intelligent environment modeling. - Design and implement Software-in-the-Loop (SIL) testing frameworks to validate perception, planning, and control modules within simulated environments. - Develop and maintain Hardware-in-the-Loop (HIL) testing setups interfacing physical hardware components with simulated environments for real-time performance validation and system integrity. - Monitor developments in robotics simulation frameworks, automation, AI/ML integration, and sim-to-real methodologies to enhance simulation capabilities.

What you'll need

- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. - Understanding of robotics simulation stacks, including digital twin development and sim-to-real/real-to-sim pipelines. - Knowledge of cloud-based simulation infrastructure, distributed training environments, and containerized simulation workflows. - Technical background integrating AI/ML frameworks into simulation environments for reinforcement learning and synthetic data generation. - Experience with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing setups for robotic software stacks and hardware validation.

Nice to have

- Experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine. - Hands-on experience developing and maintaining digital twin models for robotic systems with real-time state synchronization and physics calibration. - Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration. - Experience integrating machine learning frameworks such as PyTorch, TensorFlow, or Isaac Lab into simulation pipelines. - Experience with ROS and ROS2 in simulation and real-world robotic deployments.

Skills: Robotics Simulation, Digital Twin, sim-to-real, AI/ML frameworks, ROS/ROS2, SIL/HIL testing