Senior Machine Learning Engineer, Perception - Autonomous Driving
Core
Developing and productizing end-to-end perception solutions for NVIDIA's autonomous driving stack, focusing on traffic signal understanding (lights, signs, road markings, construction objects) without reliance on HD maps.
Role type
Senior IC machine learning engineer (perception/autonomous driving)
Builds
Perception modules for self-driving cars
Domain
Autonomous driving / Computer Vision
Deliverable
production ML models
Required skills
Deep learning model development, PyTorch, Python, C++, data-driven development, data collection/labeling strategy, data simulation and augmentation, embedded deployment
Preferred skills
Technical leadership, Visual Language Models, Transformers, BEV architectures, traffic signal perception techniques, technical publications
Technologies
PyTorch, Python, C++, NVIDIA GPUs
Responsibilities
Design end-to-end perception solutions for traffic signal detection across diverse environments; Develop deep learning models for traffic light/sign/road marking/construction object detection; Drive data-driven development with labeling teams; Leverage data simulation for extreme scenarios; Productize solutions meeting safety, latency, and robustness requirements
Seniority
Senior, hands-on IC
