Senior Principal Engineer- Autonomous Driving (ADAS) Data Loop & Flywheel
Core
Architecting the end-to-end continuous data engine and AI flywheel for L2+ ADAS and autonomous driving stacks, managing the pipeline from raw fleet log ingestion to model retraining and validation.
Role type
Senior Principal Engineer (Autonomous Driving Data Loop & MLOps)
Builds
Automated data curation pipelines, active learning systems, auto-labeling frameworks, and MLOps tooling for embedded automotive platforms.
Domain
Autonomous Driving / AI Systems / Automotive Software
Deliverable
production ML models
Required skills
End-to-End AI architecture, Deep Learning (PyTorch, TensorFlow), Model compression & quantization, Cloud-native distributed training, MLOps/CI/CD, Embedded systems (SOCs), Active learning, Fleet data processing
Preferred skills
Offline auto-labeling frameworks, Closed-loop simulation (SIL/HIL), Synthetic scenario generation, Functional safety standards (ISO 26262, SOTIF), Python, C++