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AMD is seeking a highly motivated Graduate Trainee to join our Data Center GPU team, working on platform design, validation, and solutions that help our customers succeed with AMD Instinct systems. As part of the DC GPU AI Customer Engineering team, you will help deliver high-quality, industry-leading technologies to market. Under the guidance of senior engineers, you will support system design, product development, validation activities, and root-cause analysis of complex issues.
Job Responsibility:
Support technical innovation in validation by helping with tool and script development, improving existing methods, and contributing to cross-functional technical initiatives
Assist in debugging issues found during bring-up, validation, and production phases of SoC programs, working with senior engineers to identify root causes and fixes
Help coordinate and track test execution with multiple teams to ensure features are validated and optimized on schedule
Work closely with supporting technical teams (such as design, firmware, software, and platform teams) to learn system-level behavior and help resolve issues
Learn and contribute to software/hardware modeling and simulation frameworks used to improve validation coverage and predictability
Use AI tools to improve productivity in day-to-day tasks, such as data analysis, test automation, and documentation
Requirements:
Strong verbal and written communication skills in English
Solid understanding of modern x86 microprocessor and server platform architectures (highly preferred)
Experience with test planning, test development flows, and validation methodologies
Proficiency with programming/scripting languages, especially Python
Hands-on experience with common lab equipment, such as protocol/logic analyzers and oscilloscopes
Working knowledge of server operating systems (Linux and Windows)
Self-motivated team player who can work with minimal supervision and communicate effectively across teams
Demonstrated passion for tackling complex technical problems
Experience with rapid prototyping using maker tools (e.g., Arduino, Raspberry Pi, 3D printing, etc.)
Familiarity with AI concepts, frameworks, or applications
Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electronics, Electrical Engineering, or a related discipline