Manager, AI Agents and Applied Research

Overview

• NVIDIA is at the forefront of the AI revolution, delivering latest accelerated compute platforms for global impact.
• Our Networking Research group is seeking a forward-thinking Engineering Manager with a product leadership approach to manage a team of Software Engineers, AI Agent Developers, and Researchers.
• In this role, you will bridge the gap between brand-new AI research and practical engineering.
• You will lead the charge in integrating autonomous AI agents into the daily workflows of NVIDIA’s architects, hardware designers, and researchers.
• You will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using NVIDIA’s AI stack.
• What you'll be doing: Team Leadership & Strategy: Lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.
• Product Engineering: Partner with internal engineering teams (Hardware, Architecture, Research) to analyze their workflows, identify friction points, and architect Agentic AI solutions to accelerate their work.
• Applied Research: Actively monitor the latest AI trends, academic papers, and technical blogs (LLMs, Agents, RAG).
• Translate these insights into concrete features and tools for the team.
• Agent Architecture: Be responsible for the design of scalable frameworks for AI agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.
• SW-Focused MLOps: Define and implement the software lifecycle for AI models - from fine-tuning to deployment - utilizing NVIDIA’s AI deployment tools and ensuring seamless CI/CD.
• Production Deployment: Ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.
• What we need to see: MSc or Ph.D.
• or equivalent experience in Computer Science, Computer Engineering, or a related field.
• 8+ overall years of hands-on experience in software engineering, with a proven track record of leading or mentoring technical teams.
• 3+ years of managerial experience.
• Tech Stack: Expert-level proficiency in Python, with strong familiarity with modern AI frameworks (PyTorch, LangChain, LlamaIndex).
• Research to Production: A proven ability to digest complex technical literature (papers, blogs) and implement those concepts in a working software product.
• Product Management Approach: Experience in requirements gathering, user research, or internal tool development.
• Operational Excellence: Proven understanding of modern CI/CD, containerization (Docker/Kubernetes), and MLOps standards on the software stack side.
• Ways to stand out from the crowd: Domain Hybrid: Deep background in both AI/ML and High-Performance Computing (HPC) systems.
• Agentic Experience: Hands-on experience building autonomous agents that interact with external tools or APIs.
• Internal Tools: Prior experience building developer platforms or productivity tools for engineering organizations.
• NVIDIA is home to some of the most innovative and dedicated professionals in the industry.
• We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.