Engineering Manager, Agentic AI

NVIDIA•Santa Clara, CA

2d•$224,000 - $356,500

About The Position

NVIDIA is seeking an experienced Software Engineering Manager to lead the development of core libraries for Agentic Applications. This role involves building a team focused on foundational, new technology for autonomous systems. The manager will be responsible for elevating engineering practices to enable safe and scalable deployment of agentic systems. The work is at the forefront of AI and deep learning, aiming to build scalable agentic capabilities, reusable building blocks, and high-quality libraries to accelerate developer productivity, ensure agent quality, and provide critical acceleration and optimization for highly performant and efficient agents. The role involves collaboration with creative engineers on projects pushing the boundaries of autonomous agents.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
A minimum of 7 overall years of experience, including 3+ years in team management, with strong interpersonal and leadership skills.
Proven track record in designing and deploying modern agent architectures and open-source frameworks, with a history of translating proof-of-concept initiatives into production-grade solutions driving measurable impact.
Demonstrated strategic vision to translate the rapidly evolving AI domain into platform roadmaps and high-value technical outcomes.
Exceptional communication and cross-functional leadership skills, with proven success collaborating with and contributing to the open-source community.

Nice To Haves

Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops).
Led a team that delivered reliable and scalable enterprise-grade agents deployed to customers or across an organization.
Experience implementing enterprise-grade governance for agent systems (observability, monitoring, policy enforcement) in production autonomous workflows.
Developed tools used by multiple teams to accelerate deployment of agents (SDKs, templates, reference apps, reusable building blocks).
Proven track record of maintaining, creating, or leading major open-source libraries or developer tools.

Responsibilities

Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products.
Lead a team which identifies gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops.
Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
Coordinating the entire development lifecycle, from ideation to deployment, ensuring flawless execution.
Integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class, high-performance agentic applications.
Partnering with product management and other collaborators to determine project requirements and priorities.
Lead and grow a high-performing team along with a multi-functional community to standardize procedures and scale adoption of our agent libraries.