Manager, Systems Software Engineering - Agentic Applications

NVIDIA has been redefining 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 outstanding 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 brain 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! NVIDIA is seeking a Systems Software Engineering Manager to drive continued innovation and development of enterprise AI products, including multimodal ingestion, retrieval systems, data curation pipelines, and agentic applications. The ideal candidate has a strong background in large data applications, sophisticated pipeline architecture, generative AI, and traditional machine learning experience; demonstrated leadership of applied research and development teams; and a shown ability to convert proof-of-concept applications into products.

What you'll be doing:

• Conceptualize, design, develop, and implement agentic AI blueprints (applications) that show enterprises how to deploy this technology.

• Lead an applied research and development team focused on agentic AI blueprints.

• Define success and evaluation criteria, including reproducible workflows and datasets.

• Ensure the applications meet the highest standards for quality, robustness, and composability.

• Collaborate with NVIDIA product teams and external partners on these applications, ensuring that we build what is most applicable to a wide audience.

• Provide technical leadership and mentorship across teams, projects, and internal groups.

What we need to see:

• BS or MS in Computer Engineering, Computer Science, or a closely related quantitative field (or equivalent experience).

• 8+ years of experience in software engineering or system architecture with a strong focus on Python, C++, or Go Development.

• 3+ years of experience as a leader/manager of a multi-functional team, providing sustainable professional development, growth, and technical mentorship.

• Experience providing technical leadership to a team developing data pipelines, generative AI applications, and machine learning applications, with a focus on performance and accuracy.

• Self-starter with excellent collaboration skills and a history of working with cross-disciplinary teams, including research and production.

• Strong desire to work on the cutting edge of technology while quickly learning and applying new technologies and libraries.

Ways to stand out from the crowd:

• Additional graduate coursework in Computer Engineering, Computer Science, or a closely related quantitative field.

• Demonstrable success in creating end-to-end AI applications with clear business improvements and metrics.

• Demonstrated history of contributing to and building open-source software projects that address real enterprise challenges.

• Shown success in developing generative AI or agentic AI applications as proof-of-concepts.

• Consistent record architecting enterprise applications, including those that operate on data at scale or process data through complex model ensembles.

• A passion to lead multiple projects simultaneously while maintaining attention to detail.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.