Senior Manager, Machine Learning Ops Engineering - Automotive

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 272,000 - 431,250; Full time

Benefits offered by this job

Eligible for equity

Comprehensive benefits

Job summary

NVIDIA Gruppe is seeking a Senior MLOps Engineering Manager in Santa Clara, CA, to lead the build and operation of data pipelines for autonomous driving products. You will manage a high-performing team responsible for developing robust, cloud-native MLOps systems.

Applicants should have extensive experience in engineering management and a strong background in MLOps. The position offers an attractive compensation package and the opportunity to shape innovative technologies for the future of autonomous vehicles.

Qualifications

• 10+ years of engineering experience, with management of large-scale systems.
• 5+ years of experience in engineering management.
• Strong background in MLOps and cloud‑based systems.

Responsibilities

• Lead MLOps engineering team managing data pipelines for autonomous driving.
• Own architecture and operational excellence of cloud‑native pipelines.
• Champion customer-first thinking and ensure measurable value.

Skills

Leadership

MLOps

Python

C++

Cloud infrastructure

Education

Bachelor’s or equivalent experience in Computer Science or related field

Job description

Overview

NVIDIA is seeking a Senior MLOps Engineering Manager to join our Autonomous Driving organization in Santa Clara, CA. This role offers an outstanding opportunity to lead the build, development, and operation of large‑scale, end‑to‑end data and ML pipelines that power NVIDIA’s autonomous driving products. You will lead a highly technical engineering team responsible for building and operating cloud‑scale pipelines that ingest, validate, process, and transform extensive volumes of multimodal sensor data—including camera, lidar, and radar—into high‑quality training, evaluation, and validation datasets. These pipelines are foundational to NVIDIA’s AV program and directly enable customer‑facing autonomy features. We want a seasoned engineering leader with strong ownership and passion for customer‑focused development. This person will scale systems and teams in a fast paced, multi‑functional environment.

What You Will Be Doing

• Lead and grow a high‑performing MLOps engineering group tasked with managing end‑to‑end data pipelines supporting NVIDIA’s autonomous driving technology from levels L2 through L4.
• Own the architecture, execution, and operational excellence of large‑scale, cloud‑native pipelines for multimodal sensor data ingestion, processing, labeling, and validation.
• Drive the development of robust, scalable, and observable MLOps systems that support model training, ground truth generation, and continuous evaluation at AV scale.
• Partner closely 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, and ensure consistent execution against program achievements.
• Champion customer‑first thinking and ownership, ensuring the systems your team builds directly deliver measurable value to internal and external AV customers.
• Balance hands‑on technical depth with people leadership, providing 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.

What We Need to See

• Bachelor’s or equivalent experience, Master’s, or PhD in Computer Science, Electrical Engineering, or a closely related field (or equivalent experience).
• 10+ overall years of overall engineering experience, including crafting and coordinating production‑grade distributed systems.
• 5+ years of engineering management experience, with a proven history of guiding teams delivering sophisticated, large‑scale systems.
• Strong background in MLOps, data pipelines, and cloud‑based distributed systems.
• Proficiency in Python and C++, with the ability 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 of the following domains: Autonomous Vehicles, Robotics, Computer Vision, Deep Learning, or GPU‑accelerated computing.
• Excellent communication and leadership skills, capable of aligning collaborators and driving execution in a multi‑functional organization.
• Demonstrated passion for ownership, accountability, and engineering that prioritizes customers.

Ways to Stand Out from the Crowd

• Experience developing and leading AV‑scale data platforms handling petabyte‑scale sensor data.
• Strong background of leading teams responsible for production MLOps or data infrastructure.
• Experience with automotive or robotic systems, including 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 based on simulated environments.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.

EEO Statement

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Applications for this job will be accepted at least until March 27, 2026.