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Director Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior System Software Engineer

Santa Clara, CA · On-site

This role works across software, hardware, safety, and product teams to develop, integrate, and improve capabilities within NVIDIA's autonomous driving DRIVE OS software platform. What you'll 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 Platform Safety Analysis Engineer, HALOs Platforms - Autonomous Vehicles

Nvidia

OR • On-site, Remote

$104K - $143K/yr

Full-time

Re-posted 29 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

NVIDIA - "the AI computing company" is developing a ground-breaking AI-based full stack for autonomous transportation and base platform to support it. This requires a ground-breaking approach to functional safety in the underlying HALOs platform, including scheduling and management of synchronization and diverse HW compute engines, full platform error reporting and degradation, system state management and fail-operational features. We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving platforms.

The focus is on functional safety of the underlying compute and communications platform on which NVIDIA's autonomous products are built. Do you have a desire to work at the confluence of NVIDIA's application stack and the OEM vehicle platforms. Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with all of our customers.

What you'll be doing: The increased use of AI and the underlying compute HW used represent a challenge to analyze and demonstrate HW fault metric compliance, we will look to you to propose new methods and refine existing practices. You will carry out analysis using classical approaches such as fault trees used alongside model-based techniques to derive application and system-level diagnostic measures on top of existing HW measures. Development of automation to support the analysis of complex multi-layered systems will be required.

Analysis and interpretation of internal and external safety documentation to identify improvements which can be helpful to meet ever more challenging safety targets. Ensure the integration of the System, Software and Hardware safety analysis methodologies to demonstrate the final system meets overall HW safety metrics. What we need to see: BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience 12+ years of experience in systems architecture or related fields.

Experience working across company boundaries as development partners. We seek technically strong engineers who bring experience in safety analysis of embedded systems at the Hardware and Software Level and can find the right level of abstraction adapted to the tasks in hand. Ways to Stand out from the crowd: Proven competence in performing safety analysis using qualitative and quantitative methods (e.g FTA, FMEA and FMEDAs) Background in HW SOC and/or board level architecture, Automotive ECU architecture is especially valued

Demonstrable competence in tools and automation focused on safety analysis. Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448) Experience in the evaluation of fault metrics through the combination of built-in HW measures and application coverage. #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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 3, 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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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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