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python pytorch jax uncertainty quantification neural operators📋 Description
- Develop, train, and deploy AI surrogate models to accelerate engineering simulations
- Collaborate with hardware, simulation, and domain engineers to build AI systems
- Apply surrogate modeling to FEA, CFD, thermal, and structural analyses
- Advance ML for physics with neural operators and physics-informed methods
- Drive high-leverage AI solutions for real-world engineering problems
- Ensure AI systems are validated for accuracy, robustness, and reliability
🎯 Requirements
- Bachelor's degree in CS/data science/engineering/math/physics or 4+ years software experience
- 1+ years of software development in Python for ML, AI, or data science
- Ability to work extended hours and weekends as necessary
🎁 Benefits
- Long-term incentives including stock options
- Medical, vision, and dental coverage
- 401(k) retirement plan and disability insurance
- Life insurance and paid parental leave
- Employee Stock Purchase Plan
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