Senior System Software Engineer, AV Platform - Test Platform Infrastructure, Tools and Simulation
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 the expansion of hardware-in-the-loop (HIL) infrastructure to support the robust deployment and lifecycle management of next-generation autonomous systems at scale.
Build and evolve agentic AI tools and frameworks to accelerate development, improve efficiency, and enable the scaling of new platforms.
Lead highly cross-functional design for the HIL system — spanning HW architecture, embedded software, and application-layer tooling to deliver scalable workflows across organizational boundaries.
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 system software and tools.
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:
Hands-on experience designing and deploying HIL/SIL systems for embedded automotive or robotics platforms.
Demonstrated track record of building agentic AI tools that accelerate software development.
Experience scaling CI/CD pipelines (e.g., Jenkins, Docker, Kubernetes) in cloud-native or hybrid environments for mission-critical system software.
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 system software and tools.
- 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 to operate effectively across global, fast-paced teams.
- Results-driven mindset for solving ambiguous technical challenges.
- Hands-on experience designing and deploying HIL/SIL systems for embedded automotive or robotics platforms.
- Experience building agentic AI tools that accelerate software development.
- Experience scaling CI/CD pipelines (e.g., Jenkins, Docker, Kubernetes) in cloud-native or hybrid environments.
- In-depth domain 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.”
