Manufacturing & Equipment Engineering
$138,000 - $190,000 USD yearly
Originally posted 15 September 2026 by the employer.
This role focuses on understanding, modeling, and predicting plasma–surface interaction processes.
About the role
This role is for a PhD-level scientist or engineer to develop and apply advanced modeling capabilities for plasma processing applications. The focus is on understanding, modeling, and predicting plasma–surface interaction processes using a combination of physics-based methods and data-driven approaches.
What you'll do
- Develop and apply advanced models for plasma etching, deposition, and plasma-based surface modification processes.
- Combine physics-based and machine learning-driven approaches to improve process understanding and predictive capability.
- Collaborate with experimental teams to guide process development and interpret experimental results.
- Contribute to the development, validation, and maintenance of internal software tools, modeling frameworks, and best practices.
- Communicate modeling results clearly and effectively to multidisciplinary teams and customers.
What you'll need
- PhD in Engineering (e.g., Chemical, Materials, Mechanical) or Science (e.g., Physics, Chemistry) or a related field.
- Demonstrated experience modeling plasma–surface or gas–surface interaction processes using ab initio quantum chemistry, molecular dynamics, and/or kinetic Monte Carlo methods.
- Strong background in machine learning, particularly in the context of scientific computing or high-performance computing (HPC) environments.
- Experience working with large, complex simulation datasets and integrating modeling results with experimental data.
Skills: plasma processing, plasma etching, atomic layer etching, ab initio quantum chemistry, molecular dynamics, machine learning
Santa Clara, CA, United States
On-site
$138,000 - $190,000 USD yearly
1 month ago