Computational Physics Engineer Jobs

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New College Grad - Computational Physics & Agentic AI Engineer, Doctorate Degree (Spring 2027)

Applied Materials Santa Clara, CA

Santa Clara, CA

Today

$138k - $190k/yr Full time Agentic Ai Ai Agent Artificial Intelligence

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Job Description

Applied Materials is hiring a New College Grad to help build computational physics and agentic AI engineering capabilities for semiconductor process chambers. Based in Santa Clara, CA and working onsite, you will support physics-based simulation tools and digital twins used to improve both prediction and usability across complex, physics-driven processes.

The work combines computational modeling, verification and validation, and AI-enabled workflows that support engineers through the setup, execution, analysis, and interpretation of simulation results. This full-time role is intended for a Spring 2027 start and supports relocation for eligible candidates.

Key Responsibilities

Apply computational modeling to semiconductor process and equipment development challenges, including thermal, plasma, deposition, etch, and related multiphysics applications.
Develop, implement, and improve physics-based simulation capabilities, numerical methods, and engineering workflows.
Use simulation, experimental, and engineering data to analyze process and hardware behavior, identify key physical mechanisms, and support design decisions.
Develop and evaluate reduced-order, surrogate, and machine-learning models to improve computational efficiency and/or predictive capability.
Build AI-enabled tools and agentic workflows that help engineers set up, run, analyze, and interpret computational models.
Collaborate with process, hardware, experimental, and software teams to define modeling problems and translate modeling insights into engineering decisions.
Verify and validate modeling and AI-enabled capabilities using reference solutions, simulation benchmarks, and experimental data.
Contribute to internal modeling software and the maintenance of reusable workflows, documentation, and best practices.
Communicate modeling results, assumptions, limitations, and recommendations to scientists, engineers, technical leadership, and customers.

Required Qualifications

MS or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Chemical Engineering, Materials Science, Physics, or a related field.
Demonstrated experience in computational physics or multiphysics modeling, including areas such as transport phenomena, fluid dynamics, heat transfer, chemistry, thermal-structural mechanics, plasma dynamics, or feature-scale process modeling.
Strong background in applied mathematics and computational methods, including numerical methods, statistical modeling, uncertainty quantification, or computational solver development.
Strong programming experience in Python and/or C++, including development of scientific or engineering applications.
Experience with machine learning for scientific or engineering applications, including surrogate modeling, physics-informed AI, neural operators, or related data-driven approaches.
Experience analyzing complex physical or engineering systems using simulation data and computational models.
Strong technical judgment and attention to detail.
Excellent written and verbal communication skills.

Three Core Areas of Work

Modeling Capability: develop and apply advanced multi-scale and multi-fidelity models for thermal and plasma-based semiconductor processes, linking high-fidelity solvers with reduced-order and surrogate approaches, with quantified accuracy and clearly defined limits of validity.
Verification & Validation: establish rigorous methods to verify computational models and AI-enabled workflows against reference solutions, and validate predictions against experimental data, including the infrastructure needed to maintain reliability as capabilities evolve.

Technologies

Python, C++, machine learning, surrogate modeling, physics-informed AI, neural operators
LLM-based agents, high-performance computing, parallel computing, GPU acceleration
ACE+, COMSOL, ANSYS Fluent, OpenFOAM

Job Details

Location: Santa Clara, CA (onsite)
Salary: USD 138,000 - 190,000 per year
Time Type: Full time
Employee Type: New College Grad
Travel: Yes, 10% of the time
Relocation Eligible: Yes

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