Engineering Manager, Agentic AI

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Monitor and comprehend the changing patterns of agent development within NVIDIA and the larger ecosystem.

• Lead a team in identifying gaps and friction points in agent architectures.

• Convert insights into agentic tools that enhance developer speed and agent quality.

• Employ evaluations, benchmarking, and feedback loops to steer agent development.

• Offer technical guidance and mentorship to team members.

• Oversee the development lifecycle from concept to deployment.

• Integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows.

• Collaborate with product management and stakeholders to ascertain project requirements and priorities.

• Lead and nurture a high-performing team and multifunctional community.

• Standardize processes and promote the adoption of agent libraries.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field, or equivalent experience.

• At least 7 years of overall experience, with a minimum of 3 years in team management.

• Proficient in designing and deploying modern agent architectures and open-source frameworks.

• Proven track record of converting proof-of-concept projects into production-grade solutions with measurable outcomes.

• Strategic insight to translate the evolving AI landscape into platform roadmaps and high-impact technical results.

• Outstanding communication and cross-functional leadership abilities.

• Successful experience collaborating with and contributing to the open-source community.

• Familiarity with evaluation and benchmarking systems for agent workflows, including metrics, regression, and feedback mechanisms.

• Experience in delivering reliable and scalable enterprise-grade agents.

• Background in implementing enterprise-level governance for agent systems, encompassing observability, monitoring, and policy enforcement.

• Experience in developing SDKs, templates, reference applications, and reusable building blocks.

• Proven experience in maintaining, creating, or leading significant open-source libraries or developer tools.

🏝️ Benefits

• Equity

• Comprehensive benefits package