Applied Scientist: AI-Driven Physics Simulations

Collinear AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Collinear AI is seeking a Member of Technical Staff (Applied Scientist) with deep expertise in engineering sciences to advance AI-accelerated simulation. You will collaborate with customers and internal research teams to build, test, and deploy AI Physics Models that address CFD, structural mechanics, semiconductor design, and digital twins.

You will curate high-fidelity simulation datasets, train physics-informed models, and deliver production-grade AI solutions to engineering teams, ensuring

Qualifications

• Ph.D. or Master’s degree in ML, mechanical/electrical engineering, computational physics, or related field.
• Strong grounding in deep learning and physics/engineering sciences.
• Experience implementing and training deep learning models.
• Proficient Python in Linux and HPC environments.
• Excellent communication and collaboration skills.
• Self-directed with autonomy in fast-paced environments.

Responsibilities

• Design and run large-scale simulation campaigns using domain solvers (e.g., OpenFOAM, ANSYS, COMSOL, Abaqus).
• Train AI models on physics datasets and evaluate coverage, accuracy and quality against industrial standards.
• Build robust data pipelines and automation for datasets, simulations, and model evaluation.
• Architect agentic workflows and RAG systems that connect LLMs with engineering simulations.
• Collaborate with research teams to analyze training runs, diagnose failures, and address bottlenecks.
• Lead technical initiatives and communicate results with external engineering teams.

Skills

Deep learning fundamentals

Physics & engineering foundations

Model training & evaluation

Python (Linux HPC)

Education

PhD or Master’s in a relevant field

Tools

OpenFOAM

ANSYS

COMSOL

Abaqus

Job description

Collinear AI is seeking a Member of Technical Staff (Applied Scientist) with deep expertise in engineering sciences to advance AI-accelerated simulation. You will collaborate with customers and internal research teams to build, test, and deploy AI Physics Models that address CFD, structural mechanics, semiconductor design, and digital twins.

You will curate high-fidelity simulation datasets, train physics-informed models, and deliver production-grade AI solutions to engineering teams, ensuring