Senior Technical Program Manager, Agentic AI

NVIDIA•Us, CA

1d•Hybrid

About The Position

We are building the next generation of AI-powered infrastructure to accelerate hardware and silicon development. AI is reshaping how engineering teams operate, and we are investing in infrastructure that brings chatbots, agents and assistants intelligence into the core of hardware workflows. As a Technical Program Manager, you will play a critical role in turning this vision into reality - driving cross-functional programs, scaling systems, and delivering AI capabilities that transform how silicon is designed, verified, and brought to production. Spanning ASIC, research, and infrastructure, this role drives execution in close collaboration with engineers across all teams. We emphasize having influence over technical direction, not just performing tasks or tracking metrics. You should consider yourself an expert in chip design workflows and AI - or demonstrate a strong willingness to learn. Our mission is to enable NVIDIA design and deliver world-class silicon faster than ever using AI while ensuring performance, efficiency, and resilience.

Requirements

Bachelor’s degree (or equivalent experience) in Computer Science or a related field with 12+ years of proven experience leading complex, cross-functional technical programs in AI
Hands-on experience building, deploying, or integrating AI agents, copilots, or LLM-powered systems into real-world workflows
Strong understanding of software engineering fundamentals, system architecture, and scalable infrastructure for applications that use artificial intelligence
Demonstrated ability to collaborate deeply with engineering teams and influence technical decisions, architecture, and trade-offs
Experience driving programs from concept through production, including planning, execution, risk management, and delivery at scale
Excellent communication and stakeholder leadership skills, with the ability to translate complex technical concepts into clear program direction and updates

Nice To Haves

Experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows
Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications
Experience with cross-geography coordination and leading teams or projects spanning multiple sites

Responsibilities

Lead end-to-end planning and execution of AI for Chip Design initiatives ensuring timely, on-scope, and scalable delivery
Define program plans and timelines for AI capabilities, tracking progress, partnership status, risk opportunities and reporting status to leadership
Lead technical discussions between AI engineers, hardware teams, and platform groups to ensure alignment on architecture, integration, and delivery expectations
Operationalize the evaluation of both internal and external AI tools and drive their adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement
Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets
Serve as the central point of communication for all stakeholders, providing clear status updates, insight into dependencies, and escalating when needed
Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows
Document program processes, decisions, and lessons learned to create repeatable practices for AI infrastructure delivery and cross-team collaboration