JOBILY AI SUMMARY
What you'll do
- Develop and extend Tesla’s in-house multi-physics optimization framework used company-wide
- Build scalable software pipelines integrating electromagnetic, thermal, mechanical, and manufacturing models
- Run large-scale simulation and optimization studies on distributed and HPC systems for high-dimensional design spaces
- Own and extend core components of data-driven optimization, surrogate modeling, and machine learning algorithms
- Collaborate with physics, manufacturing, and AI teams to integrate new modeling capabilities and accelerate design cycles
- Shape the roadmap of internal modeling and optimization tools with autonomy and technical influence
Key requirements
- Programming and software engineering best practices including deep learning frameworks
- Experience with distributed deep learning systems and high-performance computing systems
- Mathematics, physics, and numerical optimization expertise
- Knowledge of electromagnetic, thermal, and mechanical multi-physics optimization workflows
- Python ecosystem including NumPy, Pandas, Matplotlib, JAX, and PyTorch
- Machine learning algorithms, surrogate modeling, multi-objective optimization, and Bayesian statistics
- Electrical Engineering / Mechanical Engineering / Computer Engineering
About the job
Tesla’s Motor Design team develops the computational tools and multi-physics optimization workflows that drive the design of electric motors for all Tesla vehicles and actuators for the Optimus humanoid robot. We integrate electromagnetic, thermal, mechanical, and manufacturing constraints into…




