Principal AI/ML Engineer
Core
Lead the development and validation of AI/ML solutions for automotive engineering, CAE, and manufacturing, including designing GCNN-based AI surrogate models to augment physics-based CAE.
Role type
Principal AI/ML Engineer (Automotive/CAE)
Builds
Scalable, cloud-based AI systems and agentic AI solutions for CAE workflows on AWS or Azure.
Domain
Automotive engineering, Computer-Aided Engineering (CAE), Manufacturing
Deliverable
production ML models
Required skills
Graph Neural Networks (GCNNs, GNNs, GATs, MPNNs), Python, PyTorch, TensorFlow, scikit-learn, AWS, Azure, MLOps, Docker, MLflow, CI/CD, Statistics, Optimization, Numerical Methods
Preferred skills
C++, Java, LangGraph, LangChain, Strands SDK, CAE/physics-informed ML, surrogate modelling, simulation, Automotive design engineering experience
Technologies
AWS, Azure, Docker, MLflow, PyTorch, TensorFlow, Python, Java, LangGraph, LangChain, Strands SDK
Responsibilities
Design and deploy GCNN-based AI surrogate models to augment or replace physics-based CAE; Architect and deploy scalable, cloud-based AI systems on AWS or Azure; Own the end-to-end AI lifecycle including data ingestion, feature engineering, training, evaluation, deployment, and monitoring; Develop and deploy cloud-based agentic AI solutions for CAE; Mentor and provide technical guidance to mid-level and junior engineers; Partner with CAE, CAD, manufacturing, and data platform teams on production-grade AI.
Seniority
Principal, hands-on IC with mentorship
