Manager, Systems Software Engineering - NVLink and AI

Nvidia

US, CA, Santa Clara, United States of America Posted 2 days, 21 hours ago

$224000 - $356500/year

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. The NVLink team is seeking a Systems Software Manager to grow and lead our team of software engineers focused on developing solutions for data center platforms and engaging with partners to analyze, root cause and resolve complex issues in the systems software/firmware stack. What you'll be doing: You will be managing a team of software engineers passionate about developing tools and software/firmware solutions for next generation NVLink systems in the data center. Provide technical direction and strategic leadership in the design, development, and deployment of debug tools using LLMs, agentic AI , and related technologies and their integration into production systems. Be the primary technical leader passionate about developing debug features into the software stack. Collaborate with software, firmware and platform teams to direct the investigation and resolution of complex issues in the software/firmware stack. Align priorities across collaborators and define metrics for measuring the success of the product/team. What we need to see: BS+ degree in CS or related or equivalent experience. 10+ overall years of industry large distributed system software development experience. 4+ years of experience managing of AI /SW development teams. Experience debugging functional and performance issues in complex software /firmware systems Strong technical foundation in software engineering, particularly Python, data structures, and system design. Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace. Demonstrated success in leading cross-functional teams across architecture, firmware/hardware interfaces NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team driving the latest in GPU and AI technology? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing