Datacenter GPU Product Engineer – HW/QA & Production

NVIDIA; Austin (TX); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Datacenter Product Engineer based in Dallas, Texas, to launch GPU-accelerated server platforms for datacenter architectures. You will define test requirements, optimize the production line, and work with hardware, firmware, and software teams to deliver HGX boards for AI workloads.

Ideal candidates have 8+ years of industry experience, strong EE fundamentals, and hands-on experience with Perl, C/C++, Windows, and Linux.

Qualifications

• 8+ years of meaningful industry experience.
• Strong EE fundamentals in digital design, signal integrity, timing analysis, and computer architecture.
• Experience with Perl, C/C++, Windows and Linux is a plus.

Responsibilities

• Plan and develop diagnostic tests and debug procedures for next-gen products.
• Debug interactions between HW, FW and SW on faulty boards during boot.
• Ensure DFx requirements for signal integrity and robustness are met.
• Develop system-level manufacturing test specs for new products.
• Define the product assembly line and test fixtures for cost and efficiency.
• Perform data analysis and lab experiments to solve yield and test problems.
• Lead production screen spec optimization to reduce waste and meet yield and test goals.
• Support customer-facing and quality teams to address coverage gaps.

Skills

8+ years exp

EE fundamentals

Digital design

Signal integrity

Timing analysis

Fault analysis

Computer architecture

Education

BS/MS in EE/CE

Tools

Perl

C/C++

Windows

Linux

Job description

NVIDIA Corporation seeks a Datacenter Product Engineer based in Dallas, Texas, to launch GPU-accelerated server platforms for datacenter architectures. You will define test requirements, optimize the production line, and work with hardware, firmware, and software teams to deliver HGX boards for AI workloads.

Ideal candidates have 8+ years of industry experience, strong EE fundamentals, and hands-on experience with Perl, C/C++, Windows, and Linux.