Senior Software Architect, DriveOS

Reposted 25 Days Ago
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Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
224K-431K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead DriveOS architecture across system software, virtualization, graphics, compute, safety and security. Decompose requirements, drive integrated designs, provide technical direction, document and present architectures, and collaborate with hardware and software stakeholders.
Summary Generated by Built In

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).

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 February 21, 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.

Top Skills

Ai Tools (Cursor
Aspice
Claude Code
Computer Vision
Concurrency
Embedded Systems
Formal Verification
Github Copilot)
Gpu
Graphics
Hardware Acceleration
Iso 21434
Iso 26262
Multi-Core Systems
Multimedia Processing
Networking
Operating Systems
Sensor Processing
Soc
System Software
Virtualization
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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