Data Scientist

Position: Data Scientist 4
The group you’ll be a part ofThe Office of the CTO is where innovation takes center stage at Lam Research. We inspire our global technical community to take on grand challenges, explore emerging trends, identify critical technology inflections, and develop cutting-edge computational solutions that define the next generation of semiconductors.

The impact you’ll make Within Semiverse Solutions at Lam Research, we build software products and virtual twins that revolutionize semiconductor fabrication. Our solutions combine physical simulations—such as multi-physics plasma modeling and 3D feature scale modeling—with modern machine learning to solve critical engineering challenges.

We are looking for a senior Data Scientist to join our team at the intersection of computational physics and machine learning. In this role, you will own the development of surrogate models, virtual twins, and optimization workflows end-to-end: from designing numerical experiments and generating synthetic data to deploying clean, maintainable Python code into our commercial software.

What you’ll do Build and scale physics-aware machine learning models and surrogate models to accelerate complex multi-physics and process simulations.

Apply core data science, statistical analysis, and machine learning methods across both simulated and experimental datasets.

Implement optimization algorithms, such as Bayesian optimization and active learning, to accelerate process design and calibration.

Run simulations to generate training data and design effective sampling strategies for model development.

Write robust, production-quality Python code following modern software engineering practices.

Collaborate closely with computational physicists, semiconductor process engineers, and software developers to turn complex physics problems into practical ML solutions.

Who we’re looking for

Education & Experience:

Master’s degree with 6+ years of relevant experience, or Ph.D. with 3+ years in Physics, Engineering, Applied Mathematics, Computer Science, or a related quantitative field.

Hands-on Data Science & ML:
Demonstrated ability to build, train, evaluate, and tune machine learning models end-to-end on real-world datasets, backed by solid foundations in statistics and core ML algorithms.

Scientific Machine Learning:
Experience building surrogate models, physics-aware ML architectures, or optimization algorithms (e.g., Bayesian optimization, Gaussian processes).Physics & Simulation Background:
Strong understanding of physical sciences (e.g., transport phenomena, kinetics, or semiconductor process/device physics) and comfort working with numerical simulation data.

Software Engineering & Problem Solving:
Strong Python programming skills, comfortable solving algorithmic problems and writing modular, testable, and maintainable code.

Preferred qualifications

Professional or academic experience within the semiconductor industry, semiconductor processing, or device physics.

Familiarity with multi-physics solvers, numerical simulation tools, or scientific computing pipelines.

Experience with HPC environments, workload schedulers (e.g., SLURM), or distributed compute.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information,…