Senior Machine Learning Perception Engineer - Fallback Driving System
Core
Develop and improve ML perception models for the secondary (fallback) autonomy stack of Super Cruise 3, enabling safe vehicle stops when the primary system fails using multi-modal sensor data.
Role type
Senior IC machine learning perception engineer (autonomous driving)
Builds
Secondary autonomy perception models for GM vehicles
Domain
Autonomous driving / Automotive safety
Deliverable
production ML models
Required skills
multi-modal sensor fusion (camera, lidar, radar), object detection, semantic/instance segmentation, multi-object tracking, motion prediction, model optimization (pruning, quantization, distillation), C++, Python, PyTorch/TensorFlow/JAX
Preferred skills
embedded deployment, ROS, safety-critical systems development, large-scale data pipeline management
Technologies
PyTorch, TensorFlow, JAX, C++, Python, ROS
Responsibilities
Design and train perception models for detection, segmentation, tracking, and prediction; maintain fallback perception models; define ML success metrics and drive experimentation; curate datasets and labeling strategies; implement efficient training/inference pipelines; integrate models into production systems; partner on verification and validation strategies; provide technical mentorship
Seniority
Senior, hands-on IC
