NVIDIA’s Silicon Co-Design Group is the team that gets every GPU, SoC, and CPU silicon program from first power-on to high-volume production. We are hiring a Senior Manager to lead our Test, Manufacturability, Reliability & Quality (TMRQ) organization.
This is not a coordination role. Your work decides if a product can be built at scale and trusted in the field. These include production test development (SLT, BLT), control run flow, system reliability stress (HTOL), platform- and board-level manufacturing issue closure, and field diagnostic test development. You lead a team of individual contributors and a first-line manager at the layer where silicon, platform, and software collide with manufacturing reality. Decisions you make show up in yield curves, production ramp, and customer escapes. You are the leader the program turns to when a build is stuck, a control run is fallout-heavy, or a field return points back at silicon. The exceptional hire also uses AI deliberately — with demonstrated workflow impact and the judgment to know where it compresses real work and where it introduces risk.
What you will be doing:
Keep programs moving. Own the technical execution and velocity of SLT, BLT, Board/Chip/Rack CR, and system reliability stress (HTOL) across every GPU, SoC, and CPU silicon program.
Close the hardest multi-functional failures. Resolve Vmin and binning escapes, performance shortfalls, and power anomalies by driving root-cause across design, methodology, DFT, ATE, package, software/firmware, and manufacturing — and own the WARs and productized fixes through to confirmation.
Give leadership the clarity to act. Convert raw integration signals — CR fallout, BLT/SLT yield, SHTOL/CHTOL data, RMA trends, customer escalations — into decision-ready options that enable executive leadership to act with confidence on POR, QS/PS gates, and ramp-impacting risks.
Raise the execution bar across every program. Establish operational objectives, and refine closed-loop methodologies that improve cycle time, first-pass yield, test-time reduction, escape rate, and DPPM.
Prevent field escapes from recurring. Take ownership of manufacturing issues at both platform and board levels. Conduct root-cause analysis on returns and field escapes. Use field signals to develop screening, process, and build changes that improve quality.
Build the team the organization depends on. Hire, develop, and retain your manager and lead engineers across multiple geographies — grow ICs into recognized subsystem experts and develop your first-line managers into independently operating leaders.
What we need to see:
BS, MS, or PhD in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience).
12+ years in production test, system validation, post-silicon integration, or reliability engineering in a high-volume silicon environment, including 5+ years in management.
Strong EE fundamentals across DFT, BIST, digital design, computer architecture, fault models and fault analysis, power and timing analysis, sampling, and statistics.
Hands-on expertise across the production test stack (ATE, SLT, BLT), Control Run methodology, FinFET-class manufacturing processes, and PVT/binning dependencies.
Ways to stand out from the crowd:
Background in GPU, CPU, AI accelerator, or other large-SoC programs — you know how complexity at scale changes the failure landscape.
Applied AI tools in production test or debug workflows — faster analysis, smarter triage, automated reporting — and can describe the outcome and the guardrails you put in place.
Track record of building and retaining senior technical talent in a highly matrixed organization, including guiding first-line managers to become autonomous leaders.
Ability to operate independently on hard, ambiguous problems—and collaborate clearly across functions.
As a member of the team, you will thrive on solving problems no one else can solve. Your decisions will develop not just a program, but the technology’s trajectory.
NVIDIA is widely considered one of the technology world’s most desirable employers home to some of the most forward-thinking engineers in the industry. If you close the failures others can’t, build teams that outlast your programs, and make the next ramp better because of what you learned, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.You will also be eligible for equity and benefits.
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, MS, or PhD in Electrical Engineering, Computer Engineering, Systems Engineering, or related field
- 12+ years in production test, system validation, post-silicon integration, or reliability engineering
- 5+ years in management experience
- Strong EE fundamentals across DFT, BIST, digital design, computer architecture, fault models, power and timing analysis
- Hands-on expertise across the production test stack (ATE, SLT, BLT)
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.
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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.
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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.
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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
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.”
