DriveOS is the software platform that powers millions of autonomous vehicles and other intelligent machines around the world! It combines a virtualization platform, system software, and acceleration libraries for AI, computer vision pipelines, graphics, and multimedia processing. The system is certified for both automotive safety (ISO 26262 ASIL-D) and cybersecurity (ISO 21434, UN Reg 155), and is being adapted to other regulated markets including robotics, avionics, and medical devices.
We're looking for a strong technical leader: someone with the technical ability to deeply understand complex systems, apply modern methods to design creative solutions, and leadership to inspire our engineering teams across the entire company to implement them. As a key member of DriveOS software architecture group, you'll focus on challenges unique to the automotive industry and our automotive products. With your help, we'll be delivering advanced solutions to build safe and reliable self driving vehicle systems!
What you’ll be doing:
Work with software engineers and architects in system software, virtualization, graphics, compute, platform safety/security, sensor processing, and networking to decompose DriveOS requirements and align bottom-up designs into integrated solutions.
As a technical leader, provide insight and technical direction to resolve issues, drive development processes, and to help improve our workflows and development methodology
Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.
Collaborate with the major software and hardware stakeholders throughout NVIDIA to tackle system-level problems and influence NVIDIA SoC and GPU designs
What we need to see:
Master's degree or equivalent experience
12+ years related work experience
5+ years proficiency in Embedded Systems and System Software
Strong understanding of multi-core hardware, operating systems design, concurrency, and hardware acceleration
Experience with design and development software in compliance with industrial-grade quality standards (ISO 26262, ISO 21434, ASPICE)
Clear and concise communication and presentation skills
Highly organized and driven, with the ability to work in a dynamic, fast paced environment across multiple countries and time zones
Ways to stand out from the crowd:
Past Automotive AI/Autonomous System Software experience
Previous experience in highly matrixed organizations in a leadership position
Experience with formal verification of software programs
Experience with AI tools (Cursor, Claude Code, or GitHub Copilot).
You will also be eligible for equity and benefits.
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.Skills Required
- Master's degree or equivalent experience
- 12+ years of related work experience
- 5+ years of proficiency in embedded systems and system software
- Strong understanding of multi-core hardware, operating systems design, concurrency, and hardware acceleration
- Experience developing software compliant with ISO 26262, ISO 21434, and ASPICE quality standards
- Clear and concise communication and presentation skills
- Highly organized and able to work in a dynamic, fast-paced, global environment
- Automotive AI or autonomous system software experience
- Leadership experience in highly matrixed organizations
- Experience with formal verification of software programs
- Experience with AI tools such as Cursor, Claude Code, or GitHub Copilot
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
