Senior Technical Program Manager, Chip Tools

Reposted 2 Days Ago
Hiring Remotely in CA, USA
Remote
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Technical Program Manager will oversee Chip Tools management, driving dependency management and tool readiness, and ensuring collaboration across hardware and software engineering teams.
Summary Generated by Built In

NVIDIA's chips power everything from AI supercomputers to autonomous vehicles - and the internal tools our hardware engineers rely on are critical path to making that happen. When dependencies aren't managed, chip schedules slip. When infrastructure isn't ready for the next generation, the whole development cycle suffers.

As TPM for Chip Tools, you'll shape how this space operates - driving dependency management, tool readiness, and roadmap alignment across the chip development lifecycle. You'll build the processes and visibility that stakeholders depend on, and grow the scope of your impact as NVIDIA continues to scale. You'll start with our chip fuse and programming infrastructure, and expand across the full Chip Tools portfolio. This is a role for someone who wants to own something important and make it excellent. Hardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect.

What You'll Be Doing:

  • Own end-to-end program management for Chip Tools, beginning with Fuse, ensuring reliability, uptime, and performance meet the needs of hardware engineering teams across the chip development lifecycle.

  • Drive tool health initiatives: define SLOs, track incidents, lead root cause analysis, and deliver on improvement roadmaps that reduce friction and prevent recurrence.

  • Build and maintain a dependency map across Chip Tools -understanding upstream and downstream relationships to surface risk, handle conflicts, and ensure alignment with the chip roadmap.

  • Partner with HW engineering leads to translate the chip development roadmap into tool readiness requirements; proactively identify gaps and mobilize engineering resources to close them.

  • Facilitate cross-team coordination across tool developers, infrastructure teams, and HW users -running structured program reviews, tracking action items, and holding teams accountable to commitments.

  • Develop and maintain dashboards and reporting mechanisms to give leadership and customers real-time insight into tool health, open risks, and delivery status.

  • Find opportunities to evolve Chip Tools from reactive support into a proactive, system-focused operating model - and build the processes to get there.

  • Onboard new tools into the Chip Tools portfolio as the scope expands beyond Fuse, establishing consistent standards for program management, change control, and incident response.

What We Need to See:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field (or equivalent experience).

  • 12+ years of technical program management experience, ideally in hardware, chip development, or engineering infrastructure environments.

  • Deep familiarity with the hardware development lifecycle - you understand how chips get designed, verified, and manufactured, and where tools are critical path.

  • Proven ability to manage complex, multi-stakeholder programs with many interdependencies in a fast-moving organization.

  • Strong instincts for dependency management: you can build a dependency graph, read it for risk, and drive mitigations before they become blockers.

  • Experience owning tool or infrastructure reliability programs - you know what good uptime, incident management, and SLO frameworks look like.

  • Clear and direct communicator: you can translate technical complexity into crisp executive summaries and credibly partner with both engineers and senior leadership.

  • Data-driven approach to program management - you instrument what you own and use data to bring awareness, prioritize and demonstrate progress.

Ways to Stand Out from the crowd:

  • Direct experience with chip fusing, programming, or test infrastructure tools in a semiconductor company.

  • Background owning internal developer tooling or platform engineering programs at scale.

  • Familiarity with NVIDIA's chip development process, or with comparable processes at a leading semiconductor company.

  • Experience building program management frameworks from the ground up - not just inheriting mature programs, but establishing structure in ambiguous environments.

  • Track record of growing a TPM scope horizontally: starting with one product or tool and expanding ownership across a portfolio.

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 22, 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

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • 12+ years of technical program management experience
  • Deep familiarity with hardware development lifecycle
  • Proven ability to manage complex programs
  • Experience owning tool or infrastructure reliability programs
  • Strong instincts for dependency management
  • Clear and direct communicator
  • Data-driven approach to program management

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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