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Director Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate endtoend data and ML pipelines for NVIDIA ...

Nvidia

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate endtoend data and ML pipelines for NVIDIA ...

NVIDIA Corporation

$184 - $357/hr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end‐to‐end data and ML pipelines for ...

NVIDIA Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$184 - $357/hr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end‐to‐end data and ML pipelines for ...

Nvidia

Director, NVIDIA Compute Sales

Santa Clara, CA · On-site

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... If you're creative and autonomous, we want to hear from you. Your cash compensation will be ...

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Director Nvidia Autonomous Driving information

What does a director Nvidia Autonomous Driving do?

A Director of Nvidia Autonomous Driving leads teams that develop and implement advanced autonomous vehicle technologies using Nvidia's hardware and software platforms. They oversee strategic planning, product development, and collaborations with automotive partners to bring self-driving solutions to market. This role requires a strong background in artificial intelligence, automotive systems, and leadership to ensure the successful deployment of safe and efficient autonomous driving technologies.

What are the key skills and qualifications needed to thrive as a director Nvidia Autonomous Driving?

To thrive as a Director of Nvidia Autonomous Driving, you need deep expertise in autonomous vehicle technologies, computer vision, AI/ML, and a strong background in engineering or computer science, often supported by an advanced degree and extensive leadership experience. Familiarity with development platforms like NVIDIA DRIVE, programming languages such as Python and C++, and industry standards/certifications related to automotive safety are crucial. Strategic vision, stakeholder management, and the ability to lead cross-functional teams are standout soft skills in this role. These competencies ensure the delivery of innovative, safe, and commercially viable autonomous driving solutions in a rapidly evolving industry.

What are some key challenges a director Nvidia Autonomous Driving might face when leading cross-functional teams?

As a Director of Nvidia Autonomous Driving, you will often navigate the complexities of aligning diverse teams such as engineering, product management, and research to advance autonomous vehicle technology. Managing rapidly evolving technical requirements, balancing innovation with safety and regulatory compliance, and ensuring effective communication between software, hardware, and AI specialists are common challenges. Overcoming these requires strong leadership, a clear strategic vision, and the ability to foster collaboration across global teams. Building robust processes for testing, validation, and integration is essential to deliver on ambitious project timelines.

What is the difference between Director Nvidia Autonomous Driving vs Senior Autonomous Vehicle Software Engineer?

AspectDirector Nvidia Autonomous DrivingSenior Autonomous Vehicle Software Engineer
CredentialsAdvanced degrees in engineering or computer science, leadership experienceBachelor's or Master's in related field, specialized technical skills
Work EnvironmentLeadership roles overseeing teams, strategic planningHands-on software development, coding, testing
Employer & Industry UsageTech companies like Nvidia, automotive industry, R&DAutonomous vehicle companies, automotive suppliers, R&D
Search & Comparison IntentUnderstanding leadership roles in autonomous drivingTechnical development and engineering focus

The Director Nvidia Autonomous Driving typically holds a leadership position overseeing autonomous vehicle projects, requiring strategic and managerial skills. In contrast, a Senior Autonomous Vehicle Software Engineer focuses on technical development, coding, and implementing autonomous driving algorithms. Both roles are integral to Nvidia's autonomous driving initiatives but differ mainly in scope, responsibilities, and required experience.

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Director Nvidia Autonomous Driving jobs near you
Infographic showing various Director Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior MLOps Engineer

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate endtoend data and ML pipelines for NVIDIA's autonomous driving products!

The role builds and operates cloud pipelines that ingest, validate, process, and transform multimodal sensor data from camera, lidar, and radar into training, evaluation, and validation datasets. These pipelines enable NVIDIA's AV program and customerfacing autonomy features. Bring ownership, customer focus, and engineering judgment to scale systems and solve problems across teams.

What You Will Be Doing:

  • Design, build, and operate data pipelines supporting NVIDIA's autonomous driving technology from levels L2 through L4.

  • Own architecture, implementation, and operations for cloud pipelines that ingest, process, label, and validate sensor data.

  • Build observable MLOps systems for model training, ground truth generation, and continuous evaluation at AV scale.

  • Translate customer and program requirements into production systems with perception, ML, data labeling, infrastructure, and product teams.

  • Set technical direction, roadmaps, metrics, and operational benchmarks; deliver against program milestones.

  • Build systems that deliver measurable value to internal and external AV customers.

  • Contribute through design reviews, implementation, debugging, code reviews, and mentorship.

  • Work across 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).

  • 8+ years of engineering experience designing and delivering production distributed systems.

  • Technical leadership as a senior individual contributor delivering largescale systems.

  • Experience with MLOps, data pipelines, and cloud distributed systems.

  • Proficiency in Python and C++ for systemlevel and performancecritical implementation.

  • Experience operating endtoend data or ML pipelines for reliability, scale, and observability.

  • Prior experience in one or more of the following domains: Autonomous Vehicles, Robotics, Computer Vision, Deep Learning, or GPUaccelerated computing.

  • Communication skills that align collaborators and drive execution across functions.

  • A record of ownership, accountability, and customerfocused engineering.

Ways to Stand Out from the Crowd:

  • Experience with AV data platforms handling petabytescale sensor data.

  • Handson contributions to production MLOps or data infrastructure.

  • Experience with automotive or robotic systems, including realworld sensor data pipelines.

  • Background in distributed cloud systems, workflow orchestration, and largescale CI/CD.

  • Familiarity with 3D geometry, perception pipelines, or data generation based on simulated environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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