Note: The job is a remote job and is open to candidates in USA. NVIDIA is a global leader in AI, deep learning, and accelerated computing. The company is seeking an Engineering Manager to lead a team developing core libraries, tools, and scalable infrastructure for agentic applications, while driving engineering quality, developer productivity, and agent performance. The role involves technical leadership, lifecycle coordination, cross-functional collaboration, and team growth.
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
Skills
- 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
- 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
Benefits
- Equity
- Comprehensive benefits package
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