Description
NVIDIA is hiring a Senior MLOps Engineering Manager for its Autonomous Driving organization in Santa Clara, California. The role leads a technical engineering team responsible for building, operating, and scaling cloud-native, end-to-end data and machine learning pipelines that ingest, validate, process, label, and transform multimodal camera, lidar, and radar data for autonomous driving products. Responsibilities include defining technical vision and operational benchmarks, partnering with perception, machine learning, data labeling, infrastructure, and product teams, and providing hands-on technical guidance and people leadership. The position requires extensive engineering and management experience, strong MLOps and distributed-systems expertise, proficiency in Python and C++, and prior experience in autonomous vehicles, robotics, computer vision, deep learning, or GPU-accelerated computing. The base salary range is 272,000 USD to 431,250 USD, with equity and benefits, and applications were accepted until September 14, 2026.
