Technical Program Manager, EDA Compute Infrastructure

Posted 2 Days Ago
2 Locations
Remote or Hybrid
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads strategy and execution for reliable, scalable, and modern EDA compute infrastructure supporting chip development and tapeout. Coordinates global engineering programs, customers, vendors, and cloud and software tooling partners. Responsibilities include planning, forecasting, dependency management, agile guidance, metrics, reporting, issue resolution, technical discussions, process improvement, and senior-management communication.
Summary Generated by Built In

Hardware Infrastructure is seeking a Senior Technical Program Manager to lead the strategy and execution of programs to support the reliability, scalability and modernization of the infrastructure that supports NVIDIA's Hardware ecosystem. This infrastructure directly supports the development and tapeout of NVIDIA's chips, it must be highly reliable, performant and efficient for our internal users. They will partner with senior management to plan our future programs, and work with internal customers to align across the company and achieve excellent execution. They will be involved with our CSP and SW tooling partners, leading close engineering collaborations. They will develop and standardize planning, reporting and execution methodologies and metrics to enable meeting of challenging objectives in a fast-paced environment.

What You'll Be Doing:
  • Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.
  • Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
  • Guide engineering teams in the use of agile methodologies
  • Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
  • Report on overall program status, providing insights and recommendations to senior management.
  • Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.
  • Guide teams designing for advanced, complex, competing and often conflicting customer requirements
  • Moderate technical discussions to successful conclusions
  • Act as liaison between developers and customers, between technical and non-technical audiences
  • Cultivate a culture of continuous improvement, finding opportunities for process enhancements.

What We Need To See:
  • Bachelors degree (or equivalent experience).
  • 12+ years program management experience including proven ability managing global projects, adaptable to multiple time zones.
  • Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors.
  • Exceptional communication and presentation skills for diverse technical and non-technical audiences.
  • In-depth understanding of software engineering principles and quality requirements in enterprise systems.
  • Strong multitasking abilities with a focus on thoroughness and rapid context switching.
  • Knowledge of agile methodologies and tools, project planning, and task tracking tools
  • Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment.

Ways To Stand Out From The Crowd:
  • Background in computer science, machine learning, deep learning, open source software, infrastructure technologies, and GPU technology.
  • Prior experience in infrastructure software, production application software development, software development, release and support methodology and devops
  • Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training AI models
  • Consistent track record of driving process improvements and measuring efficiency.
  • A passion for sharing knowledge and experience driving complex projects end-to-end.
     

#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 6, 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

  • Bachelor's degree or equivalent experience
  • 12+ years of program management experience
  • Experience managing global projects across multiple time zones
  • Experience engaging and moderating successful engagements with engineering partners and vendors
  • Exceptional communication and presentation skills for technical and non-technical audiences
  • In-depth understanding of software engineering principles and quality requirements in enterprise systems
  • Strong multitasking skills, thoroughness, and rapid context switching
  • Knowledge of agile methodologies, project planning, and task tracking tools
  • Experience identifying and implementing improvements in software engineering and release management
  • Background in computer science, machine learning, deep learning, open source software, infrastructure technologies, or GPU technology
  • Experience with infrastructure software, production application software development, release and support methodology, or DevOps
  • Experience managing customer workflows using large-scale distributed computing and working with AI researchers or training AI models
  • Track record of driving process improvements and measuring efficiency

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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