Senior Machine Learning Engineer – End-to-End Autonomous Driving
Core
Develop advanced deep learning systems that map multimodal sensor inputs into safe and reliable driving behavior for autonomous vehicles.
Role type
Senior IC machine learning engineer (autonomous driving)
Builds
End-to-end autonomous driving models, behavioral planning systems, and large-scale training infrastructure
Domain
Automotive / Autonomous Driving / Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Computer vision, Neural network design, Transformers, Multimodal learning, Python, C++, PyTorch, Distributed training, Model optimization
Preferred skills
Reinforcement learning, Imitation learning, Self-supervised learning, Trajectory prediction, Motion planning, Simulation frameworks, ONNX, TensorRT, Patent generation
Technologies
PyTorch, C++, Python, ONNX, TensorRT
Responsibilities
Design and optimize end-to-end autonomous driving models; Build scalable ML pipelines for data processing and deployment; Develop multimodal deep learning architectures; Design behavioral planning and trajectory generation models; Create robust evaluation methodologies and simulation-based validation frameworks; Investigate failure cases and long-tail scenarios; Drive innovation through new algorithms and technical leadership.
Seniority
Senior, hands-on IC