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.
What you'll be doing:
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.
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
5+ years of demonstrated success in designing and implementing complex system software.
Deep domain 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, synthesizing system-wide requirements from multiple stakeholders.
Strong communicator who can operate effectively across global, fast-paced teams.
A results-driven mindset to solving ambiguous technical challenges.
Ways to stand out from the crowd:
Experience navigating and debugging within large-scale embedded OS codebases (e.g., BSP, middleware layers) across complex SoC platforms.
Demonstrated track record of building agentic AI tools or LLM-driven workflows that accelerate bring-up and reduce integration cycle time.
In-depth domain expertise in automotive networking protocols (Ethernet, CAN/CAN-FD, LIN) and real-time communication middleware.
We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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
- BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience)
- 5+ years designing and implementing complex system software
- Deep domain expertise in embedded systems architecture, 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
- Strong communication skills and ability to operate across global, fast-paced teams
- Results-driven mindset for solving ambiguous technical challenges
- Experience navigating and debugging large-scale embedded OS codebases (BSP, middleware layers) across complex SoC platforms
- Track record building agentic AI tools or LLM-driven workflows to accelerate bring-up
- In-depth expertise in automotive networking protocols (Ethernet, CAN/CAN-FD, LIN) and real-time communication middleware
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.
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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.
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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.
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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.”
