Physicist/scientist Machine Learning

Applied Materials

Santa Clara, CA, US
Base: $138,000.00 - $190,000.00; bonus/equity: eli...
Ms or phd in engineering or science
Python-based scientific computing workflows
Pytorch deep learning framework experience
The role focuses on developing ML models based on plasma and electromagnetic simulations to accelerate product development in the semiconductor industry

Job Summary

  • The role focuses on developing ML models based on plasma and electromagnetic simulations to accelerate product development in the semiconductor industry.
  • Candidates will collaborate with domain experts to incorporate physical constraints and scientific insight into machine learning model design.
  • Applied Materials offers a supportive work culture that encourages personal and professional growth alongside competitive compensation ranging from $138,000 to $190,000.

Matching Summary

The role focuses on developing ML models based on plasma and electromagnetic simulations to accelerate product development in the semiconductor industry.

Salary

Base: $138,000.00 - $190,000.00; Bonus/Equity: Eligible for bonus and stock award program; Benefits: Comprehensive benefits package including health and wellbeing programs

Skills & Requirements

Must-have

  • MS or PhD in Engineering or Science
  • Python-based scientific computing workflows
  • PyTorch deep learning framework experience
  • Multi-dimensional numerical simulation data
  • Data preprocessing for high-dimensional datasets

Nice-to-have

  • Experience with NVIDIA Physics NeMo libraries
  • Familiarity with GPU-accelerated CUDA workflows
  • Publications in ML for physical systems
  • Exposure to physics-informed machine learning
  • Knowledge of surrogate modeling techniques

Key Requirements

  • MS or PhD degree required
  • Significant experience with PDE-based solvers
  • Strong background in Python and PyTorch

Work Rights

Not specified

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