Advanced Micro Devices, Inc

Principal Robotics Simulation Architect

Advanced Micro Devices, Inc • $130K — $180K *
Austin, TX 78745In-Person
Technical Services
Less than 5 years of experience
Yesterday
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 5-7 years of hands-on experience in robotics simulation architecture.
  • Proven expertise with simulation platforms like NVIDIA Isaac Sim, Gazebo, or Unreal Engine.
  • Experience designing domain randomization strategies and sensor noise modeling for sim-to-real applications.
  • Strong familiarity with AI/ML frameworks such as PyTorch or TensorFlow in simulation contexts.
  • Hands-on experience in Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing workflows.
  • Solid understanding of ROS and ROS2 for robotic deployments.

Responsibilities

  • Collaborate with teams to develop pipelines for behavior transfers between simulation and real-world systems.
  • Architect scalable cloud-based simulation infrastructures for parallel runs and high-performance access.
  • Lead the integration of AI/ML frameworks in simulations for training and modeling autonomous behaviors.
  • Design SIL testing frameworks for validating robotic software modules in simulated environments.
  • Maintain HIL testing setups connecting real hardware with simulations for performance validation.
  • Keep up with cutting-edge trends in robotics simulation and provide insights for improvement.

Benefits

  • Comprehensive health and wellness plans.
  • Flexible work environment with hybrid options.
  • Retirement savings plan with company match.
  • Professional development opportunities and training.
  • Access to cutting-edge technology and tools.
Full Job Description
About the Role

We are seeking a highly skilled Senior Robotics Simulation Expert to join our team. The ideal candidate will be responsible for selecting and advancing simulation architecture solutions tailored for robotic systems. This role requires a deep understanding of robotics simulation stacks, including digital twin development, sim-to-real/real-to-sim pipelines, cloud-based simulation infrastructure, and AI integration within autonomous environments.

Key Responsibilities
  • Collaborate with cross-functional teams to build and refine robust pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems, minimizing the reality gap through domain randomization and adaptation techniques.
  • Architect and deploy scalable simulation infrastructure on cloud platforms, ensuring seamless parallel simulation runs, distributed training environments, and on-demand access optimized for robotic use cases with low latency and high performance.
  • Provide technical leadership in integrating AI/ML frameworks into simulation environments, enabling reinforcement learning, synthetic data generation, autonomous behavior training, and intelligent environment modeling.
  • Design and implement SIL testing frameworks to validate robotic software stacks - including perception, planning, and control modules - within simulated environments.
  • Develop and maintain HIL testing setups that interface real hardware components with simulated environments, ensuring real-time performance validation, system integrity, and hardware-software compatibility verification.
  • Stay updated with the latest trends and technologies in robotics simulation frameworks, automation, AI/ML integration, and sim-to-real methodologies, offering insights and recommendations to continuously enhance simulation capabilities.

Preferred Experience
  • Simulation Platforms: Proven experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine, tailored to specific robotic applications.
  • Digital Twin Frameworks: Strong knowledge and hands-on experience developing and maintaining digital twin models for robotic systems, including real-time state synchronization and physics calibration.
  • Sim-to-Real & Real-to-Sim Pipelines: Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration to bridge the gap between simulation and real-world deployment.
  • Cloud Simulation Infrastructure: Expertise in architecting and deploying simulation environments on cloud platforms including containerized and distributed simulation workflows.
  • AI/ML Integration: Experience integrating machine learning frameworks (PyTorch, TensorFlow, Isaac Lab, or similar) into simulation pipelines for policy training, synthetic data generation, and autonomous behavior development.
  • SIL & HIL Testing: Hands-on experience designing and executing Software-in-the-Loop and Hardware-in-the-Loop testing workflows, including real-time simulation interfacing and embedded system integration.
  • Robotics Frameworks: Proven experience with ROS and ROS2 in simulation and real-world robotic deployments.
  • Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex hardware-software-simulation interactions.
  • Collaboration and Communication: Ability to work collaboratively in a cross-functional team environment with strong written and verbal communication skills.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field


Location
  • Austin, TX
  • Santa Clara, CA
  • Other locations are considered for exceptional candidates.

This role is not eligible for visa sponsorship.

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About Advanced Micro Devices, Inc

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Manufacturing & Automotive
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ
AMD
* Ladders Estimates

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