New College Grad - Computational Physics & Agentic AI Engineer, Doctorate Degree (Spring 2027)
Core
Develop and apply advanced physics-based simulation tools, digital twins, and AI-driven workflows for semiconductor process chambers and plasma processing applications.
Role type
Computational Physics, Plasma Modeling & Agentic AI Engineer (Early-career PhD)
Builds
Digital twins, multi-scale simulation models, and AI-enabled engineering workflows for semiconductor equipment
Domain
Semiconductor manufacturing / Computational Physics / Plasma Dynamics
Deliverable
production ML models
Required skills
Computational physics, multiphysics modeling, applied mathematics, numerical methods, Python, C++, machine learning for scientific applications, simulation data analysis
Preferred skills
High-performance computing, GPU acceleration, LLM-based agents, tool use, agentic workflow orchestration, multi-fidelity modeling, reduced-order modeling, surrogate modeling, commercial multiphysics platforms (ACE+, COMSOL, ANSYS Fluent, OpenFOAM), digital twins
Technologies
Python, C++, ACE+, COMSOL, ANSYS Fluent, OpenFOAM
Responsibilities
Develop and apply advanced multi-scale and multi-fidelity models for thermal and plasma-based semiconductor processes; Verify and validate computational models and AI-enabled workflows against reference solutions and experimental data; Build AI-enabled tools and agentic workflows for engineers to execute and interpret computational models; Collaborate with process, hardware, experimental, and software teams to define modeling problems and translate insights into engineering decisions
Seniority
Early-career PhD / New College Grad