Senior Machine Learning Engineer, Perception - Autonomous Driving
Core
Designing end-to-end perception solutions for autonomous driving, specifically 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 NVIDIA autonomous driving solutions
Domain
Autonomous driving / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, Python, C++, data-driven development, data collection and labeling strategy, data simulation and augmentation, embedded platform deployment
Preferred skills
Technical leadership, Visual Language Models, Transformers, BEV architectures, complex object detection and recognition, deep learning publications
Technologies
PyTorch, NVIDIA GPUs
Responsibilities
Design end-to-end perception solutions for traffic signal detection across diverse driving environments; develop innovative deep learning models for traffic light/sign/road marking detection; drive data collection and labeling prioritization to maximize data value; leverage data simulation for extreme scenarios; productize solutions meeting safety, latency, and robustness requirements
Seniority
Senior, hands-on IC
