Senior Simulation and Game Engine Engineer – Robotics
Serve Robotics
Python
Senior/Staff Simulation Engineer
Diligent Robotics
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob 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.
