Nvidia Manager Systems Software Engineering - Agentic Applications 

United States, Texas 

542723352

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.