Senior Computational Scientist / Software Engineer - Feature Scale Process Simulation

Lam Research Corporation; Paris; On-site; EUR 85,000 - 140,000; Full time

Job summary

Lam Research Corporation in Paris seeks an experienced Computational Software Engineer to advance feature-scale semiconductor process simulation. You will translate physics and experiments into robust software, collaborating with plasma physicists and process engineers to improve fidelity.

The role focuses on developing numerical methods for geometry evolution, particle transport, and surface kinetics, with attention to performance on modern HPC architectures.

Qualifications

• Ph.D. or MS in a related technical field.
• Experience developing feature-scale, topography, or process simulation tools for plasma etch and deposition.
• Strong software development experience in C++ and Python.

Responsibilities

• Design, implement, and maintain computational software for feature-scale semiconductor process simulation.
• Develop and enhance physics-based models describing plasma-surface interactions and multiphysics phenomena.
• Optimize simulation performance for multicore CPUs and GPU-based systems.
• Validate model predictions against experimental data.

Skills

C++

Python

Monte Carlo

Finite element

Education

Ph.D. or MS in Physics, Computational Science, Applied Mathematics, Electrical Engineering, Chemical Engineering, Materials Science, Computer Science, or related technical discipline

Tools

CUDA / GPU programming

MPI / parallel computing

Job description

About the roleWe are seeking an experienced Computational Software Engineer, based in Paris , to help develop the next generation of physics-based semiconductor process simulation technologies. This role focuses on the development of advanced feature-scale simulation software that predicts the evolution of nanoscale semiconductor structures during plasma etch, deposition, and other manufacturing processes.You will work at the intersection of software engineering, computational physics, and semiconductor process technology. The successful candidate will contribute both to the scientific modeling of plasma-surface interactions and to the design and implementation of high-performance simulation software used by researchers, process engineers, and product development teams.This position requires a unique combination of strong software development skills and a deep understanding of the physical processes that drive feature evolution during semiconductor manufacturing.ResponsibilitiesDesign, 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 modern computing architectures, including 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 emerging approaches including machine learning, surrogate modeling, and digital twin technologies to accelerate simulation workflows.Publish technical results and contribute to patents, conference presentations, and scientific publications when appropriate.Required qualificationsPh.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 depositionStrong software development experience in C++ and PythonExperience developing numerical simulation or scientific computing software.Understanding of computational methods such as:Monte Carlo techniquesNumerical optimizationFinite difference or finite element methodsParticle transport simulationsGeometry evolution algorithmsMultiphysics modelingAbility to work effectively across both physics and software domains.Strong analytical and problem-solving skills.Preferred qualificationsKnowledge of plasma physics and plasma-surface interactions.Experience with reaction kinetics, surface chemistry, or gas-phase chemistry modeling.Experience with high-performance computing, parallel algorithms, GPU programming, or distributed computing.Familiarity with computational geometry, level-set methods, ray tracing, ballistic transport models, or kinetic Monte Carlo methods.Experience working with experimental data for model calibration and validation.Record of technical publications, patents, or open-source contributions.What makes this role uniqueThis role goes beyond traditional software engineering. You will be responsible for developing software that captures the underlying physics of nanoscale manufacturing processes. Success requires the ability to understand phenomena such as particle transport, surface reactions, energy distributions, and profile evolution, and to convert those concepts into scalable software solutions that can predict real-world process outcomes.You will help shape the digital twin technologies and simulation platforms that enable the semiconductor industry to develop next-generation devices more quickly and efficiently.Our commitmentWe 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, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues