Senior Manager, Machine Learning Ops Engineering - Automotive
Core
Lead the build, development, and operation of large-scale, end-to-end data and ML pipelines powering NVIDIA's autonomous driving products.
Role type
Senior Manager, MLOps Engineering
Builds
Cloud-scale pipelines for multimodal sensor data (camera, lidar, radar) ingestion, validation, processing, and transformation into training/evaluation datasets for L2-L4 autonomous driving.
Domain
Autonomous Vehicles / Robotics / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
MLOps, data pipelines, cloud-based distributed systems, Python, C++, system architecture, operational excellence, technical vision, team leadership, mentorship
Preferred skills
AV-scale data platforms (petabyte-scale), production MLOps leadership, automotive/robotic systems, real-world sensor data pipelines, distributed cloud systems, workflow orchestration, large-scale CI/CD, 3D geometry, perception pipelines, simulated environments
Technologies
Python, C++, distributed systems, cloud infrastructure, CI/CD, data platforms
Responsibilities
Lead and grow a high-performing MLOps engineering group; Own architecture and execution of large-scale cloud-native pipelines; Drive development of robust, scalable, observable MLOps systems; Partner with perception, ML, data labeling, infrastructure, and product teams; Define technical vision, roadmap, and success metrics; Balance hands-on technical depth with people leadership.
Seniority
Senior, hands-on IC with management responsibilities
