Senior System Software Engineer, AV Platform - New Platform Bringup

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Agentic AI @ 6 Communication @ 7 Debugging @ 4 LLM @ 6 Networking @ 6

Details

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to new markets. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars.

Responsibilities

Drive end-to-end software bring-up for next-generation NVIDIA DRIVE autonomous vehicle platforms, from hardware power-on through production-ready system deployment across OS, middleware, and application layers.
Build and evolve agentic AI tools and frameworks to accelerate bring-up, improve efficiency, and enable the scaling of new platforms.
Lead cross-functional teams through system-level debugging and optimization across complex embedded hardware-software ecosystems.

Requirements

BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of demonstrated success designing and implementing complex system software.
Deep expertise in embedded systems architecture, specifically hardware-software co-design, integration, and platform bring-up.
Expertise in low-level debugging and system-level optimization within complex embedded hardware-software ecosystems.
Proven ability to drive technical alignment across organizational boundaries and synthesize system-wide requirements from multiple stakeholders.
Strong communication skills and the ability to operate effectively across global, fast-paced teams.
A results-driven mindset for solving ambiguous technical challenges.

Preferred Qualifications

Experience navigating and debugging large-scale embedded OS codebases, including BSP and middleware layers, across complex SoC platforms.
A demonstrated track record of building agentic AI tools or LLM-driven workflows that accelerate bring-up and reduce integration cycle time.
In-depth expertise in automotive networking protocols, including Ethernet, CAN/CAN-FD, and LIN, as well as real-time communication middleware.

Benefits

Equity and benefits are provided.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until August 2, 2026.