Diligent Robotics

Senior/Staff Simulation Engineer

Diligent Robotics

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Senior

Tech Stack

PythonUnity

About the role

  • What we’re doing isn’t easy, but nothing worth doing ever is.
  • We envision a future powered by robots that work seamlessly with human teams.
  • We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments.
  • Join our mission-driven, venture-backed team as we build out current and future generations of humanoid robots.
  • Design and build simulation frameworks and tools to evaluate robot performance across diverse environments and use cases.
  • Develop realistic sensor, actuator, and physics models to replicate real-world robot interactions.
  • Integrate AI and autonomy software into simulation environments for validation and benchmarking.
  • Collaborate with perception, planning, controls, and hardware teams to define simulation requirements and ensure fidelity to real-world systems.
  • Automate large-scale simulation testing to assess performance, safety, and regression.
  • Analyze results, identify edge cases, and feed findings back into AI and system development.
  • Drive improvements in simulation infrastructure to increase scalability, reproducibility, and explainability.
  • Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing pipelines.

Requirements

  • Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus).
  • 5+ years of experience in simulation for robotics, autonomous vehicles, or related domains.
  • Strong software development skills in C++ and Python.
  • Experience with simulation platforms such as Unity, Unreal Engine, Gazebo, Isaac Sim, Webots or equivalent.
  • Background in modeling sensors (cameras, LiDAR, IMUs, etc.) and actuators for simulation.
  • Experience integrating autonomy stacks into simulation environments.
  • Familiarity with ROS/ROS2 and distributed robotics frameworks.
  • Strong debugging and problem-solving skills, including root cause analysis in complex systems.
  • Demonstrated ability to work cross-functionally with hardware, perception, and planning teams.
  • Bonus: experience with HIL/SIL test frameworks, reinforcement learning in simulation, or large-scale distributed testing.
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