Summer 2027 - Process Simulation Engineering Intern - MS/PhD - US-CA-Fremont (1003), United States
$30 - $48 USD hourly
Originally posted 22 October 2026 by the employer.
Develop physics-based and machine-learning surrogate models in PyTorch for plasma etch virtual twin workflows.
About the role
As a Process Simulation Engineer Intern, you will help build a virtual twin of plasma etch processes by developing physics-based models and machine-learning surrogate models connecting tool settings to predicted feature profiles.
What you'll do
- Build and refine models of plasma-surface etching, covering ion and neutral species interactions, sticking and reaction probabilities, redeposition, and ion energy and angle effects. - Calibrate model parameters against measured profiles using CD vs. depth data from SEM/TEM images. - Design simulation experiments, including parameter sweeps and design of experiments, to generate training data. - Build and validate fast surrogate models of physics simulations, including accuracy and uncertainty checks. - Utilize surrogates to analyze process parameter sensitivity and optimize process conditions. - Write Python tools to automate simulation runs, data processing, and plotting, documenting workflows and presenting results.
What you'll need
- Currently pursuing an MS or PhD in chemical engineering, physics, materials science, chemistry, or a related field. - Strong Python skills, including hands-on experience building and training models in PyTorch, JAX, or TensorFlow. - Background in reaction kinetics, transport phenomena, or surface/plasma science. - Hands-on experience building machine-learning or regression models. - Ability to work onsite-flex (3+ days per week in the office).
Nice to have
- Coursework or research in plasma physics or plasma-surface interactions. - Experience with surrogate modeling methods such as Gaussian processes, neural networks, polynomial chaos, or reduced-order models. - Experience with GPyTorch/BoTorch, physics-informed neural networks, or uncertainty quantification. - Experience with design of experiments, sensitivity analysis, Bayesian calibration, or optimization. - Experience with physics-based simulation tools including finite element, Monte Carlo, or feature-scale/profile simulators. - Familiarity with semiconductor etch processes or SEM/TEM image analysis.
Skills: plasma etch, simulation, PyTorch, Python, reaction kinetics
This role has been open 0 days — well below the 71-day median for Process Engineering roles.
Process Engineering · Semiconductor Process
|
Open roles in category
1062
|
Median days open
71 d
|
Median salary
$137k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Lam Research | All employers we track in this specialty (1062 roles · 56 employers) |
|---|---|---|
| Open roles in this specialty | 39 | 1062 |
| Open roles in the wider Process, Fab & Equipment family | 824 | 10080 · 106 employers |
| Median days open | 23 d | 71 d (−48 d vs this employer) |
| Median salary (USD postings) | — | $137k |
Skills observed across this category: plasma etch, simulation, PyTorch, Python, reaction kinetics
Who's hiring in this category
- Micron Technology · 352 open roles · median 135 d
- GlobalFoundries · 84 open roles · median 87 d
- Applied Materials · 76 open roles · median 67 d
- Texas Instruments · 58 open roles · median 52 d
- STMicroelectronics · 53 open roles · median 46 d
- Entegris · 44 open roles · median 41 d
How we counted: 1062 open Process Engineering (Semiconductor Process) roles from 56 employers tracked in the SemiconductorJobs index, counted 23 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.
Lam Research
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