Job description

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 . Applications for this job will be accepted at least until September 27, 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.

Requirements

Must-haves

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.
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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium