Senior Technical Program Manager

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads enterprise-scale IT programs supporting semiconductor supply chain, AI chip NPI, advanced packaging, manufacturing execution, and launch readiness. Partners across engineering, manufacturing, finance, supply chain, cybersecurity, and audit to deliver SAP, MES, planning, quality, analytics, and data integration solutions. Manages roadmaps, governance, milestones, risks, vendors, dashboards, UAT, deployment, training, and post-launch stabilization.
Summary Generated by Built In

NVIDIA has redefined computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a distinctive tradition of innovation that’s motivated by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era where our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Creating what has never existed before calls for foresight, inventiveness, and top talent from around the world. As an NVIDIAN, you’ll be surrounded by a diverse, encouraging atmosphere in which every person is motivated to do their best work. You will be able to build a substantial difference in the world.


As a Sr Technical Program Manager (TPM) within the Global IT PMO, you will lead the delivery of sophisticated, enterprise-scale supply chain programs that sit at the intersection of technology, business, and compliance. This role combines deep technical execution with program leadership, systems integration, and strong governance—ensuring scalable, audit-ready solutions that enable NVIDIA’s rapid growth. You’ll partner closely with Supply Chain, Finance, Sales, Engineering, IT, and Audit teams worldwide to deliver integrated solutions that drive operational excellence, control maturity, and measurable business value.


What you'll be doing:

  • Lead IT programs for AI chip NPI, advanced packaging readiness, manufacturing execution, supply chain planning, and launch gates.
  • Partner with engineering, manufacturing, supply chain, quality, and finance to turn operational needs into clear IT delivery roadmaps.
  • Drive enhancements across core enterprise platforms, including SAP, MES, supply chain planning, quality management, and analytics.
  • Coordinate cross-functional execution across enterprise architecture, data engineering, cybersecurity, infrastructure, and change management.
  • Deliver executive dashboards providing real-time visibility into NPI milestones, launch readiness, supplier status, and capacity.
  • Drive secure data exchange, master data alignment, and process handoffs across internal platforms and external partner ecosystems.
  • Manage program milestones, risk registers, executive readouts, and vendor scope, schedules, and deliverables.
  • Lead UAT, deployment, training, communication, and post-launch stabilization while streamlining processes through automation.

What We Need to See:

  • Consistent track record leading multi-functional IT programs, enterprise systems, data platforms, and workflow automation.
  • Deep understanding of requirements gathering, solution design, Agile/Scrum, testing, deployment, and operational support.
  • Solid experience partnering with engineering, operations, supply chain, manufacturing, quality, and finance teams.
  • Ability to translate complex operations into clear system requirements, program plans, governance mechanisms, and measurable outcomes.
  • Practical experience defining metrics, building dashboards, ensuring data quality, and presenting executive-level reporting.
  • Demonstrated capability in leading implementation partners, cross-team dependencies, risk mitigation, and executive communication.
  • Excellent written/verbal skills with the ability to simplify complexity and thrive in fast-paced, ambiguous environments.
  • Bachelor’s degree (or MBA) in Supply Chain Management, Business, Computer Science, or a related field (or equivalent experience) with 12+ years of experience.

Ways to Stand Out from the Crowd:
  • Direct experience supporting AI chip NPI, advanced packaging, hardware supply chain, or semiconductor manufacturing processes.
  • Hands-on background leading SAP S/4HANA transformations, large-scale ERP rollouts, or master data management implementations.
  • Demonstrable experience with global supply chain ecosystems, external manufacturing partners, role-based access control, and audit compliance.
  • Active PMP certification paired with deep proficiency in Jira and scale-ready Agile delivery models.
  • High data fluency to convert complex metrics into insights and a consistent track record driving organizational change at scale.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative and autonomous, 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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • 12+ years of experience or equivalent experience
  • Bachelor’s degree or MBA in Supply Chain Management, Business, Computer Science, or a related field, or equivalent experience
  • Track record leading multifunctional IT programs, enterprise systems, data platforms, and workflow automation
  • Experience with requirements gathering, solution design, Agile/Scrum, testing, deployment, and operational support
  • Experience partnering with engineering, operations, supply chain, manufacturing, quality, and finance teams
  • Ability to define metrics, build dashboards, ensure data quality, and present executive-level reporting
  • Experience leading implementation partners, cross-team dependencies, risk mitigation, and executive communication
  • Excellent written and verbal communication skills
  • Experience supporting AI chip NPI, advanced packaging, hardware supply chain, or semiconductor manufacturing processes
  • Experience leading SAP S/4HANA transformations, large-scale ERP rollouts, or master data management implementations
  • Experience with global supply chain ecosystems, external manufacturing partners, role-based access control, and audit compliance
  • Active PMP certification
  • Deep proficiency in Jira and scalable Agile delivery models
  • High data fluency and experience driving organizational change at scale

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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