Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA, a leader in artificial intelligence computing, where our innovations are revolutionizing self-driving cars, machine learning, supercomputing, gaming, and visualization. As a Senior System Software Engineer on the NvSci team, you will play an integral role in crafting NVIDIA's leadership in AI. What you'll be doing: • Build and implement next-generation NvSci software to enable seamless cross-platform functionality and efficient integration with user applications, hardware acceleration libraries, and frameworks on various SoCs. • Collaborate with internal and external collaborators to improve APIs, simplify system architecture, enhance software flexibility and maintainability, and elevate developer experience. • Evaluate trade-offs in resource-constrained environments and work closely with hardware and firmware engineers to optimize performance and improve the potential of crucial middleware NvSci APIs. • Lead end-to-end feature development for NvSci that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligning with product roadmaps and release cycles. • Research and integrate sophisticated software engineering practices, automation tools, and generative AI technologies to improve software reliability, maintainability, and scalability. What we need to see: • BS, MS in CS/CE/EE or related engineering field or equivalent experience. • 8+ years of relevant software development experience. • Proficiency in C/C++. • Experience in system architecture, embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips. • Strong understanding of Operating Systems. • Excellent written and verbal communication skills, ability to clearly convey complex technical concepts. • Problem-solving skills, with a track record of driving solutions from concept to production. • Ability to work effectively in cross-functional, distributed teams. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 11, 2026. 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.

Requirements

Must-haves

Build and implement next-generation NvSci software to enable seamless cross-platform functionality and efficient integration with user applications, hardware acceleration libraries, and frameworks on various SoCs.
Collaborate with internal and external collaborators to improve APIs, simplify system architecture, enhance software flexibility and maintainability, and elevate developer experience.
Evaluate trade-offs in resource-constrained environments and work closely with hardware and firmware engineers to optimize performance and improve the potential of crucial middleware NvSci APIs.
Lead end-to-end feature development for NvSci that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligning with product roadmaps and release cycles.
Research and integrate sophisticated software engineering practices, automation tools, and generative AI technologies to improve software reliability, maintainability, and scalability.
BS, MS in CS/CE/EE or related engineering field or equivalent experience.
8+ years of relevant software development experience.
Proficiency in C/C++.
Experience in system architecture, embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips.
Strong understanding of Operating Systems.
Excellent written and verbal communication skills, ability to clearly convey complex technical concepts.
Problem-solving skills, with a track record of driving solutions from concept to production.
Ability to work effectively in cross-functional, distributed teams.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision