What are the responsibilities and job description for the Simulation Engineer position at Energize Group?
🤖 Simulation & Reinforcement Learning Engineer
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.
What You’ll Do
- Develop simulation studies and full-body analysis workflows in modern physics simulators (Isaac Lab/Sim, MuJoCo, 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.
What We’re Looking For
- Strong Python fundamentals (NumPy, 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.
Background
- BS in Robotics, Computer Science, Mechanical/Electrical Engineering, or related field with 4 years of experience,
- or 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.
Salary : $150,000 - $200,000