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Director Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

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At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass ...

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Director Nvidia Autonomous Driving information

What are the key skills and qualifications needed to thrive as a Director of Nvidia Autonomous Driving, and why are they important?

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 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.

What are some key challenges a Director of 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 does a Director of 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.
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Infographic showing various Director Nvidia Autonomous Driving job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 54% Full Time, and 45% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution.
Senior System Software Engineer - Autonomous Vehicles Platform

Senior System Software Engineer - Autonomous Vehicles Platform

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 14 days ago

Job description

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.
What you'll be doing:
  • Lead software integration with a systematic approach to streamline embedded development within NVIDIA and across NVIDIA Drive Autonomous vehicle solution partners.
  • Architect and Develop platform software, tools, filesystem customization, and software integration in various OS environments.
  • Collaborate with other engineering teams to enable CI for automated sanity testing, car validation, and software release delivery.
  • Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines.
  • Enhance integration efficiency to facilitate low latency development on Tegra-based Autonomous Vehicle Simulation & car platforms.
  • Regularly engage with customer teams to productize workflows for platform integration.
  • Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.
  • Operate in an environment involving Hypervisor, Linux, and QNX RTOS.

What we need to see:
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • 12+ years of experience working on software development autonomous vehicles.
  • Proficient debugging skills from application to kernel level on embedded hardware.
  • Strong software development skills in Python.
  • Strong communication skills and the ability to collaborate with multiple cross-functional teams.
  • Experience in software architecture design.
  • Proven expertise in embedded systems and SW/HW cross-domain knowledge.
  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
  • Self-motivated, organized, and proactive.

Ways to stand out from the crowd:
  • Experience with cloud services, Jenkins, and Docker in continuous integration and deployment systems.
  • Prior experience in the automotive field.
  • Familiarity with the Bazel build system.
  • Experience with Linux and QNX filesystems, and QNX RTOS is a major plus.
  • Background in automotive ECU software integration.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
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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

Year founded

1993

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