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# Machine Learning Infrastructure Simulation Engineer, Optimus

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Machine Learning Operations, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/85066935/1

## About the Role

* Hands-on experience building and scaling distributed systems for large-scale computations
 * Strong background in ML infrastructure, including designing training pipelines, data orchestration, and deployment of RL models at scale
 * Proficiency in GPU optimizations for either inference or rendering
 * Proficiency in Python, with familairty in frameworks like PyTorch, TensorFlow, or RL libraries (e.g., Stable Baselines, RLlib), and a proven ability to write clean, scalable, and efficient code
 * Ability to research, implement, and adapt cutting-edge techniques from academic and industry sources into practical, production-ready solutions for scalable RL in simulation



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