# Senior Manager, Machine Learning Ops Engineering - Automotive

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/SeniorManager--Machine-Learning-Ops-Engineering---Automotive_JR2015168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ce8f5743-6f3

## Description

We are 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.

**Responsibilities:**

- 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.

**Requirements:**

- 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.

**Preferred Qualifications:**

- 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.

## Skills

### Required
- Python
- C++
- MLOps
- Data Pipelines
- Cloud-Based Distributed Systems
- Autonomous Vehicles
- Robotics
- Computer Vision
- Deep Learning
- GPU-Accelerated Computing

### Nice to have
- AV-Scale Data Platforms
- Production MLOPs or Data Infrastructure
- Automotive or Robotic Systems
- Distributed Cloud Systems
- Workflow Orchestration
- Large-Scale CI/CD
- 3D Geometry
- Perception Pipelines
- Data Generation Based on Simulated Environments

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/SeniorManager--Machine-Learning-Ops-Engineering---Automotive_JR2015168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)