New College Grad - Physicist/Scientist III - PhD (2027 Summer Cohort)

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 138,000 - 190,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration","Scientific problem-solving"]

Develop and apply advanced physics-based and data-driven modeling capabilities for plasma processing applications such as plasma etching, plasma-enhanced deposition, and atomic layer etching (ALE). Combine atomistic/mesoscale methods (ab initio quantum chemistry, molecular dynamics, and kinetic Monte Carlo) with machine learning models trained on large-scale HPC simulation data and supported by experimental measurements. Collaborate with experimental teams and build/maintain internal software tools and modeling frameworks.

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Applied Materials
Applied Materials
3 days ago

New College Grad - Physicist/Scientist III - PhD (2027 Summer Cohort)

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Job Summary

Develop and apply advanced physics-based and data-driven modeling capabilities for plasma processing applications such as plasma etching, plasma-enhanced deposition, and atomic layer etching (ALE). Combine atomistic/mesoscale methods (ab initio quantum chemistry, molecular dynamics, and kinetic Monte Carlo) with machine learning models trained on large-scale HPC simulation data and supported by experimental measurements. Collaborate with experimental teams and build/maintain internal software tools and modeling frameworks.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Develop and apply advanced models for plasma etching, deposition, and plasma-based surface modification processes.
  • •Combine physics-based and ML-driven approaches to improve process understanding and predictive capability.
  • •Collaborate with experimental teams to guide process development and interpret experimental results.
  • •Contribute to development, validation, and maintenance of internal software tools, modeling frameworks, and best practices.
  • •Communicate modeling results clearly to multidisciplinary teams and major customers.
Travel: Low travel

Pay and Benefits

Salary: USD 138,000 - 190,000 annually

Key Requirements

  • •Must have a 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 scientific computing or HPC environments.
  • •Experience working with large, complex simulation datasets and integrating modeling results with experimental data.
Education:PhD / Doctorate
Skills:CommunicationCollaborationScientific problem-solving
Tech Stack:Physics-based modelingData-driven approachesMachine learningHPCAb initio quantum chemistryMolecular dynamics (MD)Kinetic Monte Carlo (kMC)Atomistic modelingMesoscale modelingPlasma etchingPlasma-enhanced depositionAtomic layer etching (ALE)Plasma–surface interactionsGas–surface interactionsScientific computingSimulation datasetsSoftware toolsModeling frameworks

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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