Senior Machine Learning Engineer, Perception - Autonomous Driving
Core
Developing end-to-end perception solutions for NVIDIA's autonomous driving stack, focusing on online mapping, road layout detection, and static-world tasks to enable driving without HD maps.
Role type
Senior IC machine learning engineer (autonomous driving perception)
Builds
Perception modules for self-driving cars (online mapping, lane graph construction, road boundary detection)
Domain
Autonomous driving / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, PyTorch, Python, C++, data-driven development, data simulation and augmentation, embedded platform deployment, Transformers, BEV architectures
Preferred skills
Technical publications in leading conferences, experience with cameras for perception, generalizable approaches for diverse ODDs
Technologies
PyTorch, C++, Python, Transformers, BEV architectures
Responsibilities
Design end-to-end solutions for perception and AV stack, develop deep learning models for lane graph construction and traffic element recognition, drive data collection and labeling prioritization, leverage data simulation for extreme scenarios, productize solutions meeting safety and latency requirements
Seniority
Senior, hands-on IC
