Data Center GPU Test & Validation Engineer

AMD; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Benefits overview

Job summary

AMD is seeking a Systems Test and Validation Engineer for its Data Center GPU programs. You will craft test strategies, diagnostics, and automation to enable high-volume production across hardware, firmware, and software layers.

The role collaborates with hardware, software, architecture, and manufacturing teams to improve yield, quality, and scalability of AI/ML/HPC platforms. Bachelor's in EE/CE or related field is required.

Qualifications

• Bachelor degree in Electrical Engineering, Computer Engineering, or related technical discipline; master's degree preferred
• Strong experience with post-silicon system integration, including test programs, test content, diagnostics, and supporting collateral
• Expertise with system-level software and test environments, including BKC, IFWI, BIOS, firmware, boot processes, MCA, and POST codes
• Strong knowledge of system hardware, including motherboards, SMCs, BMCs, voltage regulators, FPGAs, and related components
• Experience with SoC and platform bring-up and debug of complex hardware, firmware, and software issues
• Platform-level debug experience involving ICT, MDA, memory, IFoE, PCIe, thermal systems, and power management
• Experience developing manufacturing tests, patterns or vectors, timing, and diagnostics using Automated Test Equipment (ATE)
• Knowledge of manufacturing and reliability test methodologies, including HVQK, burn-in, DPPM, and RMA testing
• Proficiency with Python and scripting languages such as Bash, Perl, Ruby, or shell scripting
• Programming experience with C, C++, C#, or Java
• Solid understanding of IPMI, PCIe, BMCs, and thermal solutions
• Experience with Linux or Unix operating systems and computer architecture
• Experience using revision-control systems such as Git, SVN, CVS, or RCS
• Familiarity with Agile development methodologies, including Scrum or Kanban
• Demonstrated ability to influence and collaborate across large, multifunctional hardware, software, architecture, design, product engineering, and manufacturing teams

Responsibilities

• Develop comprehensive manufacturing test strategies for new products and features, including test fixtures, equipment, diagnostic software, and infrastructure
• Define scalable board- and system-level hardware test methodologies and processes
• Lead system bring-up and debug of complex hardware, firmware, software, and manufacturing issues during product build phases
• Develop and support automated diagnostic generation, test content, and validation infrastructure using Python and other scripting languages
• Review product designs during early development and provide Design for Testability (DFT) recommendations
• Partner with cross-functional teams to improve test coverage, yield, quality, production efficiency, and reliability
• Identify and lead product and process improvement initiatives that reduce manufacturing cost and resolve quality issues
• Investigate and introduce new manufacturing test technologies, tools, and methodologies
• Analyze complex and non-recurring technical problems and lead improvements to existing processes
• Support manufacturing partners during new product introduction, production ramp, and sustaining phases
• Influence technical direction across hardware, software, architecture, design, and manufacturing organizations
• Provide technical guidance and mentorship to junior engineers
• Develop and maintain effective working relationships across geographically distributed teams

Skills

System test

System bring-up

Python scripting

C/C++

Linux

Design for Test

Test automation

Hardware debugging

BMC/IPMI

Agile

Cross-functional teamwork

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical discipline

Tools

Python

Git

Bash/Shell

IFWI/Bios

PCIe

MDA/ICT

Job description

AMD is seeking a Systems Test and Validation Engineer for its Data Center GPU programs. You will craft test strategies, diagnostics, and automation to enable high-volume production across hardware, firmware, and software layers.

The role collaborates with hardware, software, architecture, and manufacturing teams to improve yield, quality, and scalability of AI/ML/HPC platforms. Bachelor's in EE/CE or related field is required.