Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV
Core
Spearhead development and optimization of machinery for training, optimizing, testing, and releasing E2E AI-based products (parking, driving, interior sensing) for L2+ ADAS stacks.
Role type
Senior Principal Engineer (MLOps & AI Machinery)
Builds
Scalable, reliable, and performant AI machinery for autonomous driving systems
Domain
Autonomous Driving / ADAS / AI
Deliverable
production ML models
Required skills
E2E AI stack solutions, reinforcement learning, imitation learning, motion control, TensorFlow, PyTorch, model optimization, embedded deployment, cloud-based scalable training pipelines, MLOps, CICD
Preferred skills
Simulation tools (SIL/HIL), Python, C++, automotive safety standards (ISO 26262, ASIL)
Responsibilities
Define and drive technical roadmap for AI machinery; oversee design, development, and testing of AI machinery; collaborate on AI machinery ecosystem architecture; guide development framework for emerging AI solutions; transition research prototypes to production-ready solutions; mentor and lead high-caliber team of AI scientists and engineers
Seniority
Principal, strategy & mentorship
