About the role
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.Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
