Technical Program Manager - AI at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

379500.0

Posted On

09 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, Roadmap Definition, Technical Requirements, Cross-functional Collaboration, Data Scientists, ML Engineers, Program Management, AI Lifecycle Management, Model Development, Deployment, Performance Metrics, Executive Reporting, Organizational Change, Technical Fluency, Conflict Resolution, Responsible AI

Industry

Computer Hardware Manufacturing

Description

An AI Program Manager is a strategic leader responsible for overseeing a portfolio of AI/ML programs to achieve the goals of the end‑user community, bridging the gap between technical teams (data scientists, AI engineers) and end users to ensure initiatives align with business strategy, are delivered on time and within budget, and adhere to ethical standards. They lead cross-functional teams and manage dependencies across multiple AI projects. They prioritize resources and ensure AI models are developed and deployed effectively to deliver business value. Their work is a blend of technical fluency, project management discipline, and cross-functional leadership skills. What You’ll Be Doing: Define and continuously refine the enterprise AI strategy, roadmap, and achievements to steer a cohesive portfolio of AI initiatives that materially advance business and customer outcomes. Translate complex, often ambiguous business needs from the user community into precise, scalable technical requirements and architectural direction that enable high‑velocity execution by development teams. Orchestrate cross-functional collaboration across data scientists, ML engineers, product managers, and senior business collaborators to remove execution barriers and ensure end-to-end, high-quality delivery. Champion a user‑anchored approach by ensuring those closest to the problem—the user community—shape problem definitions, success metrics, and validation criteria for all AI solutions. Provide technical leadership across the AI lifecycle, from data strategy and model development through evaluation, deployment, and continuous optimization, ensuring solutions are robust, reliable, and production‑ready. Establish and govern program‑level performance metrics (e.g., model accuracy, latency, time‑to‑market, return on investment), synthesizing insights into executive‑caliber reporting and recommendations that influence strategic decisions. Lead organizational change to embed AI‑enabled ways of working, including upskilling and enabling the user community to confidently adopt, test, and iterate on AI products. Operate as a force multiplier by combining deep technical fluency with senior‑level program leadership to drive alignment, secure sponsorship, and unlock step‑change impact from the AI portfolio. What We Need to See: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field or equivalent experience (Master’s degree or MBA is often preferred). 12+ years in program management, with significant experience in AI/ML, data science, or software engineering. Strong understanding of AI/ML concepts, and direct experience managing AI programs. Proven record of leading complex, global programs through full development lifecycles into deployment and production. Experience managing complex programs that require leading the engagement between the development and end user community. Proven ability to coordinate with global teams and navigating multi-cultural, multinational business environments. Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives. Excellent ability to translate sophisticated technical concepts into actionable business insights for non-technical collaborators. This includes experience developing technical documentation. Ways to Stand Out from the Crowd: Strong background thriving in dynamic, high-growth environments, with proven adaptability to ambiguity, rapid change, and cross-functional, matrixed team structures. Strong leadership in cross-functional collaboration, conflict resolution, and consensus-building. Proven track record to operationalize Responsible AI practices, embedding governance, model risk management, and ethical review into the AI lifecycle. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The Technical Program Manager will define and refine the enterprise AI strategy and roadmap, translating complex business needs into scalable technical requirements for development teams. They will orchestrate cross-functional collaboration to ensure high-quality, end-to-end delivery of AI solutions while championing a user-anchored approach.