Senior Technical Program Manager - Capacity

Reposted 20 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead Infrastructure Capacity Management programs, drive capacity operations and procurements, enhance EDA Farm efficiency, and establish communication across teams.
Summary Generated by Built In

Hardware Infrastructure is seeking a Technical Program Manager to lead Infrastructure Capacity Management programs and workstreams. Given this Infrastructure directly supports our near-term and long-term chip roadmap, it must be highly reliable, performant and efficient for our internal users. This is a fast paced and evolving landscape that requires a TPM to guide engineering roadmaps to be delivered with high quality outcomes and a strong foundation of operational excellence. They will partner both internally within Hardware Infrastructure and externally with senior management and our HW Engineering partners to manage capacity operations and scale processes supporting our next stage of growth. They will develop and standardize planning, reporting and execution methodologies and metrics to enable meeting the challenging objectives.


What You'll Be Doing:
  • Own end-to-end capacity management strategy and execution for EDA Farm, including server procurement, vendor negotiations, server capacity allocation, data center space & power, delivering measurable efficiency and cost optimization across the organization

  • Identify and help drive implementation of improvements to EDA Farm infrastructure tooling, automation, and workflows that accelerate server provisioning, reduce manual overhead, and scale capacity management operations

  • Drive capacity and procurement initiatives using agile program methodology, aligning planning, prioritization, and delivery across engineering, procurement, and vendor partner teams

  • Build and maintain a data-driven capacity model, using metrics and business objectives to improve farm utilization, procurement performance, and vendor SLA consistency — turning insights into actionable cost and capacity optimizations

  • Create clear, consistent communication channels that give customers at every level real-time insight into farm capacity health, procurement timelines, supply chain risks, and mitigation plans

  • Act as a primary technical and strategic partner between engineering, procurement, finance, and hardware vendors to ensure EDA Farm capacity optimally meets the demands of design and verification teams


What We Need To See:
  • B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field

  • 12+ years of proven experience across Capacity Engineering, Capacity Management and/or Technical Program Management roles within the Capacity space

  • Experience working with large scale infrastructure with various CPU/GPU architectures both on-prem and cloud

  • Exceptional communication and presentation skills for diverse technical and non-technical audiences

  • Proactive in identifying and implementing positive changes in both system and process design in a fast-paced environment


Ways To Stand Out From The Crowd:
  • Deep experience leading Capacity Operations & Management work streams

  • Prior experience procuring Data Center Hardware and Public Cloud Services

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

#LI-Hybrid

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 May 5, 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.

Skills Required

  • B.S. in Electrical Engineering, Computer Science or related field
  • 12+ years of experience in Capacity Engineering, Management or Technical Program Management
  • Experience with large scale infrastructure, CPU and GPU architectures
  • Exceptional communication and presentation skills
  • Experience in leading Capacity Operations and Management work streams

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.

NVIDIA Insights

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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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