Senior Computational Scientist: Digital Twin Modeling

LAM RESEARCH Corporation

Waltham (MA)

On-site

USD 140,000 - 210,000

Full time

7 days ago
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Job summary

Lam Research in the Greater Boston area seeks an experienced Computational Software Engineer to advance nanoscale semiconductor process simulation. You will craft high-performance software, integrate physics-based models, and optimize for GPUs and multicore CPUs to predict plasma etch and deposition outcomes.

The role blends software engineering with computational physics, requiring collaboration with scientists and engineers to deliver production-quality tools and contribute to digital twin

Qualifications

  • Ph.D. or M.S. in Physics, Computational Science, Applied Mathematics, Electrical Engineering, Chemical Engineering, Materials Science, Computer Science, or related technical discipline.
  • Familiarity developing feature-scale, topography, or process simulation tools for plasma etch and deposition.
  • Strong software development experience in C++ and Python.
  • Experience developing numerical simulation or scientific computing software.
  • Understanding of Monte Carlo techniques, numerical optimization, finite difference/finite elements, particle transport, geometry evolution, and multiphysics modeling.

Responsibilities

  • Design, implement, and maintain computational software for feature-scale semiconductor process simulation.
  • Develop and enhance physics-based models describing plasma-surface interactions, surface chemistry, material transport, and profile evolution.
  • Translate physical theories, experimental observations, and mathematical models into robust, production-quality software.
  • Collaborate with plasma physicists, process engineers, computational scientists, and product teams to improve model fidelity and predictive capability.
  • Develop numerical algorithms for geometry evolution, particle transport, surface reaction kinetics, and related multiphysics phenomena.
  • Optimize simulation performance for multicore CPUs and GPU-based systems.
  • Validate model predictions against experimental and metrology data.
  • Contribute to software architecture, testing frameworks, code reviews, and engineering best practices.
  • Investigate machine learning, surrogate modeling, and digital twin technologies to accelerate workflows.
  • Publish technical results and contribute to patents and publications.

Skills

C++
Python
GPU programming
High-performance computing
Numerical methods
Software design
Cross-disciplinary collaboration
Analytical thinking

Education

Ph.D. or M.S. in Physics/CS/Engineering

Tools

CUDA
MPI

Job description

Lam Research in the Greater Boston area seeks an experienced Computational Software Engineer to advance nanoscale semiconductor process simulation. You will craft high-performance software, integrate physics-based models, and optimize for GPUs and multicore CPUs to predict plasma etch and deposition outcomes.

The role blends software engineering with computational physics, requiring collaboration with scientists and engineers to deliver production-quality tools and contribute to digital twin

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