Technical Program Manager – DFX Productization

Posted 16 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
Hybrid
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Drive DFX program execution for semiconductor products from plan of record through production release. Coordinate pre- and post-silicon test readiness, bring-up, test content debugging, yield learning, quality targets, and production ramp activities across engineering, validation, test, operations, and software teams. Manage integrated schedules, dependencies, risks, scope changes, execution reviews, and leadership reporting across concurrent programs.
Summary Generated by Built In

NVIDIA is looking for a hands-on, execution-focused Technical Program Manager to drive the DFX programs of our groundbreaking chip designs from plan of record through production release. This role sits at the junction of chip design, manufacturing test, and product quality, and is accountable for getting our silicon test-ready, production-ready and released on schedule.

NVIDIA is seeking someone with a strong background in silicon bring-up and productization, with a focus on testability. You will own DFX program execution across the full lifecycle, from plan of record to production release, with particular emphasis on the post-silicon phases where test content, yield and quality come together for release. Your goal is to keep DFX deliverables on track to program milestones, surface risks early, and ensure smooth execution from first silicon through production ramp.

What you'll be doing:

  • Work closely with DFX engineering managers and engineers, as well as cross-functional partners in silicon design, physical design, verification, post-silicon validation, test engineering, operations and software, to drive DFX execution across multiple concurrent programs.
  • Own the integrated DFX execution schedule for assigned programs from plan of record through production release, tracking dependencies and deliverables against key milestones including tapeout, first silicon, bring-up, qualification and release
  • Drive pre-silicon test readiness, ensuring DFX features, test patterns and ATE test programs are ready ahead of tapeout and silicon arrival
  • Lead post-silicon DFX bring-up execution, coordinating SCAN, MBIST, IO and other test content debug across DFX, validation and test engineering teams
  • Track and drive productization milestones partnering with Operations, including ATE test time reduction, test coverage, yield learning and DPPM/quality targets required for qualification and production release
  • Coordinate handoffs to Operations and support production ramp readiness, including system-level and datacenter test needs
  • Run regular program execution reviews, capture decisions, actions and owners, manage scope changes, and drive items to closure
  • Proactively identify schedule and quality risks, partner with engineering on mitigation plans, and provide clear, data-driven status and recommendations to leadership for trade-off decisions
  • Assemble lessons learned and apply standard methodologies from one program to another to continuously improve DFX execution

What we need to see:

  • BS (Masters preferred) in Electrical Engineering, Computer Engineering or a related field or equivalent experience
  • 6+ years of experience in semiconductor technical program management, test engineering, DFX or post-silicon validation
  • Hands-on knowledge of the ASIC/SoC development flow, with working familiarity with DFX concepts (SCAN, ATPG, MBIST, JTAG) and post-silicon bring-up, test and productization
  • Demonstrated ability to drive execution with multi-functional teams and concurrent programs while keeping sophisticated schedules on track
  • Understands and deals well with rapid development cycles and constant change; remains flexible and calm in the face of uncertainty
  • Self-motivated and proactive with strong attention to detail and demonstrated critical thinking capabilities
  • Proficient with program management tools and data (e.g., Jira, Smartsheet, Confluence); scripting experience in Python is a plus

Ways to stand out from the crowd:

  • Experience with ATE platforms and production test flows
  • Exposure to datacenter testability challenges, including system-level and in-field test.
  • Experience with yield analysis and manufacturing quality metrics.

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and innovative compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most fast paced computer users in the world - scientists, designers, artists, and gamers.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!

#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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 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 in Electrical Engineering, Computer Engineering, a related field, or equivalent experience
  • 6+ years of experience in semiconductor technical program management, test engineering, DFX, or post-silicon validation
  • Hands-on knowledge of ASIC/SoC development flows
  • Working familiarity with DFX concepts including SCAN, ATPG, MBIST, and JTAG
  • Experience with post-silicon bring-up, testing, and productization
  • Ability to drive execution across multifunctional teams and concurrent programs
  • Ability to manage sophisticated schedules, dependencies, risks, and milestones
  • Strong attention to detail, critical thinking, self-motivation, and proactive execution
  • Proficiency with program management tools and data
  • Master’s degree
  • Experience with ATE platforms and production test flows
  • Exposure to datacenter testability, system-level testing, and in-field testing
  • Experience with yield analysis and manufacturing quality metrics
  • Python scripting experience

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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