We are seeking a collaborative and motivated Systems Test Engineer to join our team. In this role, you will develop and execute methodologies and test content for system-level hardware, firmware and software validation on machine learning systems built with AMD’s technologies. You’ll work closely with architecture, design, and post-silicon teams to identify and resolve complex systems, improving future debug and test features. This position involves developing automation, refining validation processes, executing test cases, analyzing data and driving system-level quality across AMD’s product portfolio. We welcome applicants from diverse backgrounds who bring curiosity, technical depth, and a commitment to innovation. THE PERSON: As a Systems Test Engineer, you will deliver our next generation of system tests for our products. In this high visibility position, your systems engineering expertise will be necessary to find and resolve system’s HW, FW and SW issues. KEY RESPONSIBILITIES: Create and execute test procedures to validate the design of various system components on the next generation of machine learning architectures. This includes all components of servers including CPU/ GPU/ Memory/ BIOS/ BMC/ IO/storage/networking, etc. Translating system specs into a robust system integration test plan Make improvements to system level integration test strategies, methodologies, and processes Collaboration with multi-functional HW and SW teams to debug and tackle complex issues Develop and improve automation features according to requirements Monitor and analyze the execution of automated tests at scale (for hundreds or thousands of systems), PREFERRED EXPERIENCE: Post-silicon system integration, system testing. Debugging skills at So. C (System on a Chip) and System level. Ability to validate at cluster-level (scale-up and scale-out)Experience with Computer Architecture concepts and silicon features Prior experience working on servers. Ability to program in Python is a must. Other languages are bonus. Computer enthusiasts and excellent knowledge of current machine learning technologies in the data center. Effective communication skills including influencing and working across large multi-functional HW, SW, architecture teams ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent This role is not Eligible for Visa Sponsorship#LI-KW 1