MTS - AI Physics & Simulations

Collinear AI is seeking a Member of Technical Staff (Applied Scientist) to advance AI-accelerated simulation. The role involves curating simulation datasets, training and validating physics-informed AI models, building simulation infrastructure, integrating LLMs with engineering workflows, and collaborating with research and engineering teams to deliver production-grade solutions.

Responsibilities:

• Execute Simulation Campaigns: Design and orchestrate large-scale simulation campaigns using domain-specific solvers (e.g., OpenFOAM, ANSYS, COMSOL, Abaqus)
• Train & Validate Models: Train AI models on physics datasets and conduct rigorous evaluations of coverage, accuracy, and output quality against industrial validation standards
• Build Infrastructure & Tooling: Develop robust automated frameworks for dataset creation, simulation pipeline orchestration, and continuous model evaluation
• Integrate LLMs & Workflows: Architect agentic workflows and Retrieval-Augmented Generation (RAG) systems that seamlessly connect LLMs with engineering simulation pipelines
• Research Collaboration: Partner closely with the research team to analyze training runs, diagnose failure modes, and address data sparsity or architecture bottlenecks
• Technical Project Management: Lead research initiatives and manage technical communications with external engineering teams