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Senior System Software Engineer, AV Platform - Test Platform Infrastructure, Tools and Simulation

Senior System Software Engineer, AV Platform - Test Platform Infrastructure, Tools and Simulation

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 CI/CD @ 4 Communication @ 7 Debugging @ 6 Docker @ 4 Jenkins @ 4 Kubernetes @ 4 Networking @ 6 Robotics @ 4 Software Development @ 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 solutions that will transform transportation and self-driving cars.

Responsibilities

Drive the expansion of hardware-in-the-loop (HIL) infrastructure to support 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 cross-functional design for the HIL system, spanning hardware architecture, embedded software, and application-layer tooling to deliver scalable workflows across organizational boundaries.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of demonstrated success 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 from multiple stakeholders.
Strong communication skills and the ability to operate effectively across global, fast-paced teams.
Results-driven approach to solving ambiguous technical challenges.

Preferred Qualifications

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 using technologies such as Jenkins, Docker, and Kubernetes in cloud-native or hybrid environments for mission-critical system software.
In-depth expertise in automotive networking protocols, including Ethernet, CAN/CAN-FD, and LIN, as well as real-time communication middleware.

Benefits

The position includes eligibility for equity and NVIDIA benefits. 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.