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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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1623 open roles
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The Senior Manager, Test, Manufacturability, Reliability and Quality leads the Test, Manufacturability, Reliability & Quality organization within the Silicon Co-Design Group. This leader manages a team of individual contributors and a first-line manager to oversee production test development, including SLT, BLT, and system reliability stress like HTOL. The role involves closing multi-functional failures, resolving Vmin and binning escapes, and conducting root-cause analysis on field returns. Key responsibilities include converting integration signals into decision-ready options and refining methodologies to improve first-pass yield and test-time reduction. Candidates must possess expertise in DFT, BIST, digital design, computer architecture, and FinFET-class manufacturing processes. The position addresses the technical challenges of moving GPU, SoC, and CPU silicon from first power-on to high-volume production while managing platform and board-level manufacturing issues.
Own the technical execution and velocity of SLT, BLT, and system reliability stress (HTOL) across all silicon programs.
Drive root-cause analysis and productized fixes for Vmin escapes, performance shortfalls, and power anomalies across design and manufacturing.
Convert raw integration signals and RMA trends into decision-ready options for executive leadership regarding production gates and ramp risks.
Establish operational objectives to improve cycle time, first-pass yield, test-time reduction, and DPPM.
Conduct root-cause analysis on field returns to develop screening, process, and build changes that prevent recurring escapes.
Hire, develop, and retain a team of engineers and first-line managers across multiple geographies.
Use AI tools deliberately to improve production test workflows while managing associated risks.
What we're looking for
BS, MS, or PhD in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field (or equivalent experience).
12+ years of experience in production test, system validation, post-silicon integration, or reliability engineering in a high-volume silicon environment.
5+ years of experience in a management role.
Strong EE fundamentals in DFT, BIST, digital design, computer architecture, fault models, fault analysis, power and timing analysis, sampling, and statistics.
Hands-on expertise in 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 (preferred).
Experience applying AI tools in production test or debug workflows (preferred).
Track record of building and retaining senior technical talent and guiding first-line managers to become autonomous leaders (preferred).
Post-Silicon Validation
Silicon Bring-up
Digital Design
Signal Integrity
Timing Analysis
Fault Analysis
Python
BASH
Linux
Computer Architecture
Firmware
driver s
Root Cause Analysis
Data Analysis
SoC
GPU
CPU
AI Accelerators
Test Engineering
Python
LabVIEW
TestStand
Data Acquisition
Firmware
Hardware
Electrical Engineering
PCBA Test
Boundary Scan
JTAG
ICT
ESS
Root Cause Analysis
Configuration Management
Version Control
AS9100
Statistical Process Control
Manufacturing Test Engineering
Python
C#
LabVIEW
MATLAB
PLM
MES
TES
HASS
ESS
Thermal Cycling
Root Cause Analysis
Reliability Engineering
Hardware Communication Protocols
design-for-testability
Data Analytics