Applied Scientist: AI-Driven Physics Simulations

Collinear AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Collinear.AI is seeking a Member of Technical Staff (Applied Scientist) to advance AI-accelerated simulation. You will create AI physics models and work on CFD, structural mechanics, and multi-physics problems across production-grade pipelines.

You will collaborate with customers and research teams, train physics-informed models, and deploy solutions to engineering teams. This role emphasizes rigorous engineering standards and cross-functional impact.

Qualifications

• Ph.D. or Master’s degree in ML or engineering fields.
• Solid grounding in deep learning and physics/engineering sciences.
• Hands-on experience implementing and training deep learning models.
• Proficiency in Python in Linux and HPC environments.
• Strong verbal and written communication; self-directed and collaborative.

Responsibilities

• Execute large-scale simulation campaigns using domain solvers like OpenFOAM, ANSYS, COMSOL, Abaqus.
• Train AI models on physics datasets and evaluate coverage, accuracy and quality.
• Build robust automation frameworks for datasets, pipelines, and model evaluation.
• Architect agentic workflows and RAG systems linking LLMs with simulation pipelines.
• Collaborate with research teams to analyze runs, diagnose failures, and address bottlenecks.
• Lead research initiatives and manage technical communications with external teams.

Skills

Deep learning principles

Physics or engineering sciences

Python

Linux & HPC environments

Communication skills

Ownership mindset

Education

Ph.D. or Master’s degree in Machine Learning, Mechanical Engineering, Electrical Engineering, Computational Physics, Structural Mechanics, Semiconductor Engineering, or related field

Tools

OpenFOAM

ANSYS

COMSOL

Abaqus

Job description

Collinear.AI is seeking a Member of Technical Staff (Applied Scientist) to advance AI-accelerated simulation. You will create AI physics models and work on CFD, structural mechanics, and multi-physics problems across production-grade pipelines.

You will collaborate with customers and research teams, train physics-informed models, and deploy solutions to engineering teams. This role emphasizes rigorous engineering standards and cross-functional impact.