Senior Manager, Machine Learning Ops Engineering - Automotive

Details

NVIDIA is seeking a Senior MLOps Engineering Manager to join the Autonomous Driving organization in Santa Clara, CA. This role leads the build, development, and operation of large-scale, end-to-end data and ML pipelines that power NVIDIA's autonomous driving products. The team is responsible for cloud-scale pipelines that ingest, validate, process, and transform multimodal sensor data (camera, lidar, radar) into training, evaluation, and validation datasets that enable customer-facing autonomy features.

Responsibilities

• Lead and grow a high-performing MLOps engineering group managing end-to-end data pipelines supporting NVIDIA's autonomous driving technology (L2–L4).
• Own architecture, execution, and operational excellence of large-scale, cloud-native pipelines for multimodal sensor data ingestion, processing, labeling, and validation.
• Drive development of robust, scalable, and observable MLOps systems supporting model training, ground truth generation, and continuous evaluation at AV scale.
• Partner with perception, ML, data labeling, infrastructure, and product teams to translate customer and program requirements into reliable production systems.
• Define technical vision, roadmap, success metrics, and operational benchmarks; ensure consistent execution against program goals.
• Champion customer-first thinking and ownership to deliver measurable value to internal and external AV customers.
• Balance hands-on technical depth with people leadership; provide technical guidance, mentorship, and career development for senior engineers and managers.
• Operate across multiple layers of the stack, including Python, C++, distributed systems, cloud infrastructure, CI/CD, and data platforms.

Requirements

• Bachelor's (or equivalent), Master's, or PhD in Computer Science, Electrical Engineering, or closely related field, or equivalent experience.
• 10+ years of engineering experience, including designing and coordinating production-grade distributed systems.
• 5+ years of engineering management experience, with a track record of guiding teams delivering large-scale systems.
• Strong background in MLOps, data pipelines, and cloud-based distributed systems.
• Proficiency in Python and C++, able to guide system-level and performance-critical build decisions.
• Experience crafting and operating end-to-end data or ML pipelines with high reliability, scale, and observability.
• Prior experience in one or more domains: Autonomous Vehicles, Robotics, Computer Vision, Deep Learning, or GPU-accelerated computing.
• Excellent communication and leadership skills; ability to align collaborators and drive execution in a multi-functional organization.
• Demonstrated ownership, accountability, and customer-focused engineering.

Ways to Stand Out

• Experience developing and leading AV-scale data platforms handling petabyte-scale sensor data.
• History of leading teams responsible for production MLOps or data infrastructure.
• Experience with automotive or robotic systems and real-world sensor data pipelines.
• Background in distributed cloud systems, workflow orchestration, and large-scale CI/CD.
• Familiarity with 3D geometry, perception pipelines, or data generation from simulated environments.

Compensation & Benefits

• Base salary range: 272,000 USD - 431,250 USD (determined by location, experience, and pay of employees in similar positions).
• Eligible for equity and NVIDIA benefits (see company benefits page).

Additional Information

• Location: Santa Clara, CA, United States.
• Time type: Full time.
• Applications accepted at least until March 27, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.