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Manager Nvidia Autonomous Driving Jobs (NOW HIRING)

$152 - $242/hr

... NVIDIA's autonomous driving DRIVE OS software platform. What you'll be doing: * Collaborate with software, hardware, safety, and product management teams to translate product requirements into system ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

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Infographic showing various Manager Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior System Software Engineer - AV Platform

Nvidia

Santa Clara, CA

Full-time

Re-posted 6 days ago


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

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 for NVIDIA Drive Autonomous vehicle solution products. Architect and develop platform software, tools, filesystem customization, with efficient software integration in multiple OS environments with AI powered workflows.

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. Regularly engage with customer teams to productize workflows for platform integration. Collaborate with other engineering teams to enable automated workflows for development, sanity testing, car validation, and software release deliveries.

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).

8+ years of experience working on software development autonomous vehicles. Proficient debugging skills from application to kernel level on embedded hardware. Strong communication skills and the ability to collaborate with multiple cross-functional teams.

Proven expertise in embedded systems, architecture design 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: Leveraged AI for building small to complex embedded projects to improve platform developer efficiency. Experience with Linux and QNX filesystems, and QNX RTOS is a major plus. Background in automotive ECU software integration or Prior experience in the automotive field.

Familiarity with the Bazel build system. Good to have exposure in python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems. #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. 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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Benefits

Hours and flexibility

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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