AI/ML Engineer
Core
Building AI/ML algorithms and scalable solutions to accelerate simulation, improve accuracy, and enable generative design within computer-aided engineering (CAE) workflows.
Role type
Senior IC AI/ML Engineer (Applied Engineering/Physics-Informed ML)
Builds
Production AI/ML systems integrated into high-fidelity simulation pipelines for engineering automation.
Domain
Computer-Aided Engineering (CAE), Simulation, Physics-Informed Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch/JAX/TensorFlow, MLOps, Physics-informed ML algorithms, Simulation modeling principles, System-level optimization
Preferred skills
CAE/CAD/PLM tools (Ansys, Abaqus, COMSOL, SolidWorks, NX), Startup environment experience
Technologies
PyTorch, JAX, TensorFlow, Ansys, Abaqus, COMSOL, SolidWorks, NX
Responsibilities
Research and develop AI/ML algorithms for simulation and design automation; Build scalable AI solutions integrated into CAE workflows; Lead performance improvements in model accuracy and system bottlenecks; Guide projects from research to production deployment; Contribute to MLOps practices for end-to-end system building.
Seniority
Senior, hands-on IC with technical leadership
