Senior Engineering Manager, Agentic Applications

Details

At NVIDIA, 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.

The RAPIDS Data Science group is seeking a Senior Engineering Manager to lead the conception, research, development, and optimization of our agentic blueprints and applications. This role focuses on leading a focused engineering team to craft world-class agentic blueprints that teach the industry how to implement agentic AI applications in their own enterprises. The ideal candidate will have a strong background in generative AI, demonstrated leadership of applied research and development teams, and a shown ability to convert proof-of-concept applications into products.

Responsibilities

• Conceptualize, design, develop, and implement agentic AI blueprints (applications) that show enterprises how to deploy this technology.
• Ensure the applications meet the highest standards for quality, robustness, and composability.
• Define success and evaluation criteria, including reproducible workflows and datasets.
• Lead an applied research and development team focused on agentic AI blueprints.
• 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.

Requirements

• BS or MS in Computer Engineering, Computer Science, or a closely related quantitative field.
• 10+ years of experience in software engineering or system architecture with a strong focus in Python, C++, or Go development.
• 5+ years of experience as a leader/manager of a multi-functional team, providing sustainable professional development, growth, and technical mentorship.
• Experience leading a team developing in agentic frameworks (e.g., LangChain, Semantic Kernel, Crew.ai, AutoGen, Google ADK).
• Shown success in developing generative AI or agentic AI applications as proof-of-concept.
• 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 in a constantly evolving environment while quickly learning and applying new technologies and libraries.

Ways to Stand Out from the Crowd

• PhD (or similar) 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.
• Consistent record architecting agentic applications, including those that use common tool calling capabilities (e.g., MCP).
• Demonstrated history of contributing and building open-source software projects that address real enterprise challenges.
• A passion to lead multiple projects simultaneously while maintaining attention to detail.

Benefits

Competitive salaries and a generous benefits package. NVIDIA is considered one of the technology industry's most desirable employers with teams working in Deep Learning, Artificial Intelligence, and Autonomous Vehicles. Equity and additional benefits are also included.