Datacenter GPU Systems Engineer — Production & Optimization

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Job summary

NVIDIA is seeking a Datacenter Product Engineer in Santa Clara to drive the production readiness of new GPU hardware. You will collaborate with global teams to define test requirements, optimize the production line, and ensure cost and quality targets are met.

Ideal candidates have 8+ years in engineering with deep GPU/system expertise, strong communication, and the ability to work independently to deliver robust, scalable solutions.

Qualifications

• BS or MS in EE/CE/IE/ME or equivalent.
• 8+ years of relevant industry experience.
• Strong engineering fundamentals in GPU/CPU development, design and system architecture.
• Knowledge of high-speed interconnects, memories (HBM, GDDR), system reliability and server RAS features.
• Strong communication and organization skills; able to work independently.

Responsibilities

• Collaborate with NPI teams for smooth production ramp at worldwide manufacturing sites and drive process improvements.
• Recommend and ensure DFx requirements for robust signal integrity across layout and assembly.
• Develop and deliver test specs for system-level manufacturing screens to meet HW coverage and product requirements.
• Drive alternate components qualifications and BOM updates.
• Define product assembly line with CM, optimizing for cost and throughput.
• Craft solutions through data analysis and lab experiments to solve yield/test problems.
• Lead optimization of production screen spec definitions to minimize waste and meet metrics.
• Support customer-facing and quality teams during escalations.

Skills

GPU architecture

System architecture

High-speed interconnects

HBM/GDDR memories

Server reliability

Statistics

Timing analysis

Fault analysis

Communication skills

Independent work

Education

BS or MS in EE/CE/IE/ME or equivalent experience

Job description

NVIDIA is seeking a Datacenter Product Engineer in Santa Clara to drive the production readiness of new GPU hardware. You will collaborate with global teams to define test requirements, optimize the production line, and ensure cost and quality targets are met.

Ideal candidates have 8+ years in engineering with deep GPU/system expertise, strong communication, and the ability to work independently to deliver robust, scalable solutions.