Senior Computational Scientist / Software Engineer - Feature Scale Process Simulation
We 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.
- 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 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.
- 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 computational methods such as:
- Monte Carlo techniques
- Numerical optimization
- Finite difference or finite element methods
- Particle transport simulations
- Geometry evolution algorithms
- Multiphysics modeling
- Ability to work effectively across both physics and software domains.
- Strong analytical and problem-solving skills.
- Knowledge 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.
This 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.
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, 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
Skills Required
- Ph.D. or M.S. in Physics, Computational Science, Applied Mathematics, Electrical Engineering, Chemical Engineering, Materials Science, Computer Science, or a related technical discipline
- Experience 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 or finite element methods, particle transport simulations, geometry evolution algorithms, and multiphysics modeling
- Ability to work effectively across physics and software domains
- Strong analytical and problem-solving skills
- Knowledge 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 using experimental data for model calibration and validation
- Record of technical publications, patents, or open-source contributions
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
-
Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
-
Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
-
Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/









