GPU boards Failure Analysis Engineer
AMD
- Location
- Secaucus, New Jersey
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- 2h ago
Skills
About this role
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE
The Quality Returns Debug Team is looking for an experienced GPU PCBA (printed circuit board assembly) Debug and Failure Analysis Engineer who will work with our engineering functions to perform board level (PCBA) failure analysis on customer and factory failures of GPU Accelerators to reproduce reported failures, isolate the cause of failure and work closely with cross-functional teams including design, validation, firmware and manufacturing to drive root cause analysis and corrective actions. Your contributions will directly impact product quality, reliability, and customer satisfaction. THE PERSON: The ideal candidate is a skilled engineer with a strong analytical mindset and hands-on approach to technical problem-solving. They excel in both collaborative and independent environments, demonstrating initiative, adaptability, and a drive to tackle new challenges in fast-paced settings. With experience in system integration and High Performance Computing, they bring a proactive attitude and the ability to manage multiple tasks with limited supervision. Their excellent communication skills support effective teamwork and documentation, while their curiosity and persistence enable them to deliver high-quality solutions through thorough failure analysis and repair.
KEY RESPONSIBILITIES
Support internal and external requests to troubleshoot PCBA-level AMD GPU product failures for continuous yield & quality improvements, and customer quality support within expected timelines. Develop and execute DOE's (design of experiments) that run targeted tests to reproduce and isolate hard to find failures. Develop Automation and tools to run tests and analyze results/logs. Perform triage and communicate with the contract manufacturer and/or internal AMD teams (such as Design, BIOS, firmware, memory, I/O, display, diagnostics, Test Engineering, Board operations, etc.) as needed to converge on failure reproduction efforts and root cause identification. Document all findings into FA (failure analysis) database and create a complete failure analysis report for customer consumption as needed. Present findings to key stakeholders, including senior management. Implement ongoing continuous improvements of failure analysis process & techniques and create procedures of the steps to follow. Oversee the set-up of new products and test stations for Failure Analysis operations.
PREFERRED EXPERIENCE
Deep expertise in GPU architecture, including debug, validation, and stress/functional test development. Skilled in using lab equipment (oscilloscopes, logic analyzers, custom test tools) for hardware validation. Strong background in PCBA diagnostics, failure analysis, and debug techniques, from NPI through production. Proficient in Python, shell scripting, and working across Windows and Linux environments. Solid understanding of firmware, drivers, and hardware interactions, with the ability to tune firmware as needed. Extensive experience in hardware verification and system integration. Familiarity with PCBA manufacturing processes and IPC-A-610 quality standards. Hands-on experience assembling, installing, and configuring computer systems and servers. Strong leadership, communication, documentation, and presentation skills. Able to read schematics, interpret datasheets, identify components, and perform soldering/rework for debug. Proficient in MS Excel for data analysis and