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Program Manager Autonomous Vehicles Jobs (NOW HIRING)

Leading the coordinated efforts to test and deploy autonomous vehicle deployment across several ... program management, with a strong preference on mining operational experience and a technical ...

... Manager to lead developer ecosystem engagement for Autonomous Vehicles. In this role, you will ... Develop and deliver technical enablement programs, including workshops, sample applications ...

Program Manager - Autonomous Systems Posting Start Date: 8/18/26 Job Location (Short): Tucson, Arizona, USA, 85706 Requisition ID: 36654 Onsite or Remote: Onsite Position Shape the Future of Mining ...

We are looking for a Director of Carline Program Management to join our NVIDIA DRIVE AV team to define and develop products to grow our Autonomous Vehicles business. As a Carline PM Director, you ...

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Program Manager Autonomous Vehicles information

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$38.5K

$107.5K

$157K

How much do program manager autonomous vehicles jobs pay per year?

As of Sep 9, 2026, the average yearly pay for program manager autonomous vehicles in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a program manager for autonomous vehicles do?

A Program Manager for Autonomous Vehicles oversees the planning, execution, and delivery of projects related to self-driving car technologies. They coordinate cross-functional teams, manage timelines and budgets, and ensure that the development and deployment of autonomous vehicle systems meet organizational and regulatory requirements. Their role often involves collaborating with engineers, data scientists, product managers, and external partners to drive innovation while addressing safety, compliance, and performance challenges.

How does a program manager for autonomous vehicles typically collaborate with engineering and product teams?

As a Program Manager for Autonomous Vehicles, you'll act as a bridge between cross-functional teams, including engineering, product management, and operations. Your role involves facilitating regular meetings, ensuring alignment on project milestones, and addressing potential roadblocks. You'll translate high-level business objectives into actionable project plans, track progress, and foster clear communication to keep all stakeholders informed. This collaborative approach is crucial for integrating cutting-edge technology while meeting safety and regulatory standards.

What are the key skills and qualifications needed to thrive as a program manager in autonomous vehicles, and why are they important?

To thrive as a Program Manager in Autonomous Vehicles, you need a solid background in engineering, project management, and experience with autonomous systems, typically supported by a relevant degree and PMP or similar certification. Familiarity with technical tools like Jira, Agile frameworks, and automotive safety standards such as ISO 26262 is highly valuable. Strong leadership, cross-functional communication, and problem-solving abilities set standout candidates apart in this role. These competencies are vital for effectively coordinating complex, interdisciplinary projects and ensuring the safe, timely delivery of autonomous vehicle solutions.

What is the difference between Program Manager Autonomous Vehicles vs Software Engineer Autonomous Vehicles?

AspectProgram Manager Autonomous VehiclesSoftware Engineer Autonomous Vehicles
Required CredentialsBachelor's or higher in engineering, project management certification often preferredBachelor's or higher in computer science or related field, programming skills essential
Work EnvironmentCross-functional teams, project planning, stakeholder coordinationDevelopment teams, coding, testing, and software implementation
Employer & Industry UsageAutomotive and tech companies focusing on autonomous vehicle projectsTech companies, automotive firms, startups developing autonomous systems

While Program Managers Autonomous Vehicles oversee project execution, timelines, and team coordination, Software Engineers Autonomous Vehicles focus on developing and coding the autonomous driving software. Both roles are vital in autonomous vehicle development but differ in responsibilities and skill sets.

What are popular job titles related to Program Manager Autonomous Vehicles jobs?

For Program Manager Autonomous Vehicles jobs, the most frequently searched job titles are:

Infographic showing various Program Manager Autonomous Vehicles job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.

Senior Developer Relationship Manager - Autonomous Vehicles

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 27 days ago


Key responsibilities

  • Lead technical developer engagement with autonomous vehicle partners to facilitate adoption of NVIDIA technologies.

  • Develop and deliver technical enablement programs such as workshops, sample applications, reference architectures, and demos.

  • Support early-access software and platform integrations by collecting feedback, identifying technical blockers, and driving successful adoption.


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

NVIDIA is defining the future of autonomous vehicle development through an end-to-end accelerated computing platform spanning AI training, simulation, synthetic data generation, validation, and in-vehicle deployment. Our platform brings together NVIDIA DGX, NVIDIA Omniverse, NVIDIA Cosmos, NVIDIA Alpamayo, NVIDIA DRIVE, CUDA, and AI software to help OEMs, Tier 1 suppliers, startups, researchers, and ecosystem partners build safer and more capable autonomous systems.


We are seeking a highly technical and strategic Senior Developer Relations Manager to lead developer ecosystem engagement for Autonomous Vehicles. In this role, you will serve as a primary technical advocate and ecosystem lead for developers building with NVIDIA automotive technologies. You will work closely with product, engineering, solutions architecture, sales, marketing, and regional teams to accelerate adoption, remove technical friction, and bring ecosystem feedback into NVIDIA's roadmap. This role helps connect global Autonomous Vehicle developer engagement across partners, regions, and product teams, ensuring the ecosystem has a clear path to adopt NVIDIA's platform and that developer feedback informs product and platform strategy.


What you'll be doing:

  • Lead technical developer engagement with strategic autonomous vehicle partners, including OEMs, Tier 1 suppliers, startups, ISVs, and research organizations.
  • Serve as a primary DevRel point of contact for the AV developer ecosystem, helping partners adopt NVIDIA technologies across AI training, simulation, synthetic data, validation, and in-vehicle deployment.
  • Develop and deliver technical enablement programs, including workshops, sample applications, reference architectures, demos, best-practice guides, executive briefings, and industry event content.
  • Support early-access software and platform integrations with key partners, collecting feedback, identifying technical blockers, and helping drive successful adoption.
  • Champion partner requirements, architectural patterns, product gaps, and developer feedback with NVIDIA product and engineering teams.
  • Partner with solutions architects, product managers, engineering, sales, marketing, and regional teams to align developer engagement with NVIDIA's Automotive platform strategy.
  • Build trusted relationships with technical leaders, developers, decision makers, and ecosystem influencers to accelerate adoption and deepen long-term engagement.
  • Support go-to-market and product launch activities by translating technical capabilities into clear developer value and partner outcomes.
  • Track ecosystem needs, adoption signals, and technical engagement patterns to inform roadmap priorities and future developer programs.

What we need to see:

  • 8+ years of experience in developer relations, technical partnerships, software engineering, product management, solutions architecture, or ecosystem development.
  • Strong technical background in autonomous vehicles, automotive software, AI, simulation, accelerated computing, embedded systems, or related domains.
  • Experience working with automotive OEMs, Tier 1 suppliers, AV startups, ISVs, or enterprise technology partners.
  • Hands-on experience with one or more areas such as AI model training, synthetic data generation, simulation, data pipelines, full-stack software, edge deployment, or autonomous systems.
  • Ability to engage credibly with developers and senior technical leaders while also communicating clearly with business, product, and executive stakeholders.
  • Experience translating partner feedback into product requirements, technical roadmap input, documentation improvements, and scalable enablement programs.
  • Strong communication and interpersonal skills, with a track record of building trust across internal teams and external partners.
  • Hands-on experience with C++, Python, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.
  • Understanding of AI model development lifecycles, from data pipelines and training through optimization, validation, and deployment on edge devices.

Ways to stand out from the crowd:

  • Experience with NVIDIA DRIVE, DGX, Omniverse, Cosmos, CUDA, CUDA-X, NeMo, or NVIDIA AI Enterprise.
  • Direct experience with ADAS/AD software stacks, including perception, sensor fusion, planning, simulation, validation, or safety workflows.
  • Familiarity with automotive safety and development standards such as ISO 26262.
  • Experience building or scaling developer communities, partner enablement programs, technical workshops, or ecosystem campaigns.
  • Background with world foundation models, generative AI, physical AI, synthetic data, or GPU-accelerated simulation.
  • Strong understanding of the challenges autonomous vehicle developers face when adopting AI technologies at production scale.

At NVIDIA, we're dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world's most respected technology companies. If you're motivated, curious, and ready to make a difference, we'd love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!


#AutonomousVehicles

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 September 2, 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.

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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