AI Materials Research Engineer

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 131,000 - 180,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Collaboration","Problem-solving","Communication"]

Develop scientific AI and machine-learning models to accelerate semiconductor materials discovery, including property prediction, screening/optimization, and process-performance modeling. Build AI surrogate models and materials informatics pipelines that combine experimental, characterization, simulation, and literature data. Create AI copilots and agentic workflows for literature review, hypothesis generation, experiment planning, and simulation orchestration while collaborating with materials scientists and AI teams to deliver next-generation materials innovations.

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FursaFursa
Applied Materials
Applied Materials
5 days ago

AI Materials Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Develop scientific AI and machine-learning models to accelerate semiconductor materials discovery, including property prediction, screening/optimization, and process-performance modeling. Build AI surrogate models and materials informatics pipelines that combine experimental, characterization, simulation, and literature data. Create AI copilots and agentic workflows for literature review, hypothesis generation, experiment planning, and simulation orchestration while collaborating with materials scientists and AI teams to deliver next-generation materials innovations.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Entry level

Key Responsibilities

  • •Develop AI/ML models for materials property prediction, materials screening/optimization, process-performance modeling, and generative materials design.
  • •Apply computational materials methodologies including DFT, molecular dynamics, kinetic Monte Carlo, and phase-field/Monte Carlo simulations.
  • •Build AI surrogate models to accelerate simulation-driven materials research.
  • •Create materials informatics pipelines integrating experimental data, characterization results, simulation outputs, and scientific literature.
  • •Develop AI copilots and agentic workflows for literature review, hypothesis generation, experiment planning, and simulation orchestration.
Travel: Low travel

Pay and Benefits

Salary: USD 131,000 - 180,000 annually
Equity and Bonus:Equity

Key Requirements

  • •MS/PhD in Materials Science, Computational Materials Science, Physics, Chemical Engineering, or related field.
  • •Up to 2 years of experience in Computational Materials Science, Materials Informatics, Scientific ML, or AI for scientific applications.
  • •Strong Python programming and ML experience (PyTorch, TensorFlow, scikit-learn).
  • •Experience with computational methods including DFT, MD, kMC, and phase-field modeling.
  • •Strong understanding of crystal structures, thermodynamics, kinetics, and defect physics.
Experience:Computational materials scienceMaterials informaticsScientific MLAI for scientific applications
Education:Master's
Skills:CollaborationProblem-solvingCommunication
Tech Stack:PythonPyTorchTensorFlowScikit-learnDensity Functional Theory (DFT)Molecular Dynamics (MD)Kinetic Monte Carlo (kMC)Phase-field modelingMonte Carlo simulationsVASPQuantum EspressoCP2KLAMMPSGROMACSMaterials ProjectOQMDNOMADGraph Neural Networks (GNNs)Physics-Informed MLGenerative AI

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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