Senior Manager, Post-Silicon Bring-Up

Reposted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
232K-368K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead post-silicon bring-up and productization from first power-on through production ramp. Drive cross-functional execution for debug, validation, characterization, reliability qualification, and production readiness while establishing operating models, metrics, and closure plans for high-risk silicon issues.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Senior Manager to lead post-silicon bring-up and productization for complex, high-performance silicon products, driving execution from first power-on through debug, validation, production readiness, and sustained product ramp. This role is ideal for a leader who combines deep technical judgment with strong multi-functional execution and can establish the operating rhythm required to move silicon from early lab readiness to high-volume production. The scope includes setting operational objectives, leading significant portions of large programs, influencing through deep expertise, and managing across teams and technical specialty areas.

What You’ll Be Doing:

  • Lead the end-to-end post-silicon execution plan, from first-silicon power-on through production qualification and volume ramp.

  • Drive technical and program execution across architecture, design, verification, firmware, software, boards, systems, test, product engineering, and operations to achieve bring-up, debug, validation, and productization achievements.

  • Lead the bring-up operating model, including priorities, staffing, customer concern paths, execution reviews, issue triage, metrics, and closure plans for the highest-risk silicon issues.

  • Lead the resolution of sophisticated post-silicon issues involving power, clocks, reset, boot, interfaces, performance, reliability, and coordination between hardware components and software systems, ensuring rapid root-cause analysis and effective cross-team closure.

  • Drive silicon characterization and reliability qualification plans through execution. This involves assessments of electrical, speed, power, thermal, environmental, and operational conditions. It also includes customer-sampling, production-release criteria, and automotive qualification flows like AEC-Q100, when applicable.

  • Establish and continuously improve bring-up methodology, test planning, debug readiness, lab readiness, and execution processes to increase speed, quality, and predictability across programs.

  • Partner with senior leadership to communicate readiness, risks, dependencies, and recovery plans, and drive decisions that balance schedule, quality, and production objectives.

  • Help shape the broader post-silicon roadmap by applying bring-up findings to design, verification, debug architecture, and productization flows.

What We Need to See:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.

  • 12+ overall years of proven experience and 5+ years of management experience, including significant leadership in post-silicon bring-up, validation, debug, or productization for complex SoCs, GPUs, ASICs, or systems.

  • Proven experience leading teams through first-silicon bring-up, issue triage, debug closure, and transition to production.

  • Deep technical understanding of digital design, computer or system architecture, power, timing, clocking, reset, noise, fault analysis, and hardware-software interactions.

  • Strong experience with post-silicon debug and validation flows, including lab execution, test planning, data-driven issue management, and multi-functional execution in fast-moving environments.

  • Familiarity with driving silicon characterization and reliability qualification, including electrical and process-voltage-temperature characterization, HTOL, ELFR, package qualification, and AEC-Q100 for automotive programs, where applicable.

  • Demonstrated ability to work effectively across pre-silicon and post-silicon teams, influence senior partners, and drive decisions across organizational boundaries.

  • Strong communication and interpersonal skills, with the ability to simplify uncertainty, create structure, and keep teams aligned under aggressive schedules.

Ways to Stand Out from the Crowd:

  • Experience leading bring-up for both SoC- and GPU-class silicon or highly integrated platform programs.

  • Hands-on experience with first power-on, system bring-up, silicon characterization, binning, reliability qualification, or production ramp is a plus!

  • Experience building bring-up methodologies, debug infrastructure, or validation frameworks that improved execution quality across multiple product generations.

  • Strong background in firmware, low-level software, or hardware-software co-debug for complex systems.

  • Experience driving pre-silicon execution, including multi-functional planning and execution through design, verification, and tapeout readiness, is a strong plus.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 232,000 USD – 368,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
  • 12+ years overall experience and 5+ years management experience
  • Significant leadership in post-silicon bring-up, validation, debug, or productization for complex SoCs, GPUs, ASICs, or systems
  • Deep technical understanding of digital design, computer/system architecture, power, timing, clocking, reset, noise, fault analysis, and hardware-software interactions
  • Strong experience with post-silicon debug and validation flows, lab execution, test planning, and data-driven issue management
  • Familiarity with silicon characterization and reliability qualification (electrical/PVT characterization, HTOL, ELFR, package qualification, AEC-Q100 where applicable)
  • Proven ability to lead teams through first-silicon bring-up, issue triage, debug closure, and transition to production
  • Demonstrated ability to work across pre-silicon and post-silicon teams and influence senior partners
  • Strong communication and interpersonal skills to align teams under aggressive schedules
  • Experience leading bring-up for both SoC- and GPU-class silicon or highly integrated platform programs
  • Hands-on first power-on, system bring-up, silicon characterization, binning, reliability qualification, or production ramp experience
  • Experience building bring-up methodologies, debug infrastructure, or validation frameworks that improved execution across generations
  • Strong background in firmware, low-level software, or hardware-software co-debug
  • Experience driving pre-silicon execution including multi-functional planning through design, verification, and tapeout readiness

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Sprout Social Logo Sprout Social

Account Executive

Marketing Tech • Social Media • Software • Analytics • Business Intelligence
Easy Apply
Remote or Hybrid
US
1400 Employees
182K-301K Annually

Snap Inc. Logo Snap Inc.

Manager, Finance

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
Los Angeles, CA, USA
5000 Employees
147K-259K Annually

Philo Logo Philo

Sr. Technology Vendor Manager

Cloud • Digital Media • News + Entertainment • On-Demand
Remote or Hybrid
2 Locations
165 Employees
135K-200K Annually

Rangeview Logo Rangeview

Buyer

Aerospace • Robotics • Energy • Defense • Manufacturing • Weapons Systems
In-Office
El Segundo, CA, USA
38 Employees
108K-134K Annually

Similar Companies Hiring

Unusual Machines, Inc. Thumbnail
Hardware • Robotics
Orlando, FL
300 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account