Senior Data Scientist: Physics‑Aware ML & Virtual Twins

LAM RESEARCH Corporation; Tualatin (OR); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Lam Research Corporation seeks a senior Data Scientist to advance physics-aware ML and surrogate modeling for multi-physics simulations in semiconductor manufacturing. You will design experiments, generate synthetic data, and deploy production-grade Python code within Semiverse Solutions.

The role requires strong ML fundamentals, experience with surrogate models, and collaboration with computational physicists and process engineers to accelerate design, calibration, and optimization workflows.

Qualifications

• Advanced data science and ML skills demonstrated end-to-end on real datasets.
• Experience with surrogate models for physics-based simulations is required or highly preferred.
• Strong Python programming, testing, and software engineering practices.

Responsibilities

• Develop and scale physics-aware ML models and surrogates for multi-physics simulations.
• Implement Bayesian optimization and active learning to accelerate design/calibration.
• Generate training data via simulations and design sampling strategies.
• Collaborate with physicists, engineers, and software developers to deploy ML solutions.

Skills

Python

ML

Bayesian optimization

Gaussian processes

Physics-informed ML

Education

Master's or PhD in a quantitative field

Tools

SLURM

NumPy/SciPy

scikit-learn

Job description

Lam Research Corporation seeks a senior Data Scientist to advance physics-aware ML and surrogate modeling for multi-physics simulations in semiconductor manufacturing. You will design experiments, generate synthetic data, and deploy production-grade Python code within Semiverse Solutions.

The role requires strong ML fundamentals, experience with surrogate models, and collaboration with computational physicists and process engineers to accelerate design, calibration, and optimization workflows.