THE ROLE:
Support development and deployment of diagnostic tests that validate AMD Data Center GPU products at all test stages, from silicon screening to server rack assembly.
KEY RESPONSIBILITIES:
Test Development (60%):
- Design and implement diagnostic tests for AMD silicon and server platforms
- Develop test automation frameworks and infrastructure
- Debug test failures and hardware issues across production stages
- Optimize test coverage and execution time
Cross-Team Coordination (40%):
- Lead root cause analysis and debug efforts for failures on production systems, often in time-sensitive and urgent scenarios
- Interface with silicon design, firmware, performance, systems integration, and manufacturing teams to investigate and resolve issues
- Support manufacturing partners in test bring-up and issue resolution
- Coordinate test deployment schedules and deliverables
- Track and report on test coverage, quality metrics, and production readiness
Additional Duties:
- Participate in code reviews and maintain test code quality
- Document test specifications and deployment procedures
- Occasional lab work and limited factory visits as needed
PREFERRED EXPERIENCE:
- Proven experience with software development or test engineering experience
- Proven experience with hardware/silicon validation or manufacturing test environments
- Hands-on debugging and root cause analysis in low-level hardware/software systems
- Experience with server or datacenter systems architecture
- Understanding of silicon validation processes and test methodologies
- Familiarity with manufacturing workflows and production test environments
- Knowledge of server architectures (BMC, firmware, system integration)
- Experience with GPU/accelerator performance metrics including computational throughput, memory bandwidth, power efficiency, thermal characteristics, and whole-system performance
- Background in AMD GPU or CPU technologies is a plus
- Strong proficiency in Python and C++
- SQL and Snowflake for data analysis and reporting
- Linux system administration and shell scripting
- Git version control and code review practices
- Experience with diagnostic tools and hardware debugging methodologies
- Knowledge of at least one GPU programming framework (ROCm/CUDA/OpenCL/Vulkan/OpenGL), with ROCm strongly preferred
- Excellent written and verbal communication skills is an absolute
- Ability to document technical designs, test plans, and procedures clearly
- Proven ability to coordinate with cross-functional teams
ACADEMIC CREDENTIALS:
- BS in Computer Science, Computer Engineering, Electrical Engineering, or related field preferred
- Equivalent experience considered
