Simulation Engineer

This range is provided by Energize Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Direct message the job poster from Energize Group

We’re partnered with a cutting-edge robotics company building next-generation multi purpose robots designed to move, think, and work safely alongside humans. The team is scaling rapidly and looking for a Simulation & Reinforcement Learning Engineer to join their R&D group focused on simulation fidelity, reinforcement learning integration, and optimization for real-world robotic performance.

• Develop simulation studies and full-body analysis workflows in modern physics simulators (Isaac Lab/Sim, Mu Jo Co , or Brax).
• Build reproducible scripts and tools for experiment design, validation, and deployment.
• Integrate full-body RL policies into simulation environments and support optimization of robot design.
• Enhance simulation fidelity — friction, efficiency, impact loads, and contact dynamics — and validate against mechanical and control specs.
• Collaborate closely with hardware and controls engineers to accelerate design iterations and deliver production-quality models.

• Strong Python fundamentals (Num Py, PyTorch) and experience with simulation environments.
• Hands-on reinforcement learning experience — training, inference, and hyperparameter tuning.
• Proven ability to deliver research prototypes and production-grade code using Git.
• Bonus: experience with GPU/cloud pipelines, Docker, or physics-based system identification.

• BS in Robotics, Computer Science, Mechanical/Electrical Engineering, or related field with 4+ years of experience.
• MS with 2+ years of experience in relevant domains.
• Onsite role based in Austin, TX (Monday–Friday).

If you’re excited about bridging the gap between simulation and reality for robotic systems, we’d love to connect.

👉 Apply or reach out directly to learn more about this opportunity to shape the next generation of intelligent machines.