Sr. Field Applications Engineer, Datacenter & AI Systems Debug and Deployment Support

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.

We are seeking a motivated and technically curious Field Applications Engineer to join our Global Partner Support team. This role is ideal for an early career engineer who is motivated to grow deep expertise at the intersection of data center hardware, system software, and AI workloads. In this role, you will work alongside experienced FAEs and engineering teams to debug, triage, and resolve complex issues involving AMD Data Center GPUs and the AI software stack. You will gradually take on increasing ownership as your technical depth and confidence grow. This is a hands-on role designed for engineers who enjoy learning through real-world problem solving in fast-paced, high-impact environments.   THE PERSON: The ideal candidate is an intellectually curious engineer with a passion for solving challenging technical problems and building expertise across modern computing platforms. You thrive in collaborative environments, enjoy working directly with customers and partners, and are energized by opportunities to learn new technologies. You possess strong analytical and debugging skills and are comfortable navigating issues that span hardware, software, systems, and AI workloads. You communicate effectively with both technical and non-technical audiences and approach problems with a customer-first mindset. Most importantly, you are motivated to grow into a trusted technical advisor supporting some of the industry's most advanced AI and accelerated computing deployments.

Participate in system-level debugging of GPU, driver, networking, and AI software issues across single-node and multi-node environments, progressively taking ownership of complex debug efforts. Support post-sales technical engagements with cloud providers, OEMs, ODMs, enterprise customers, and strategic partners. Reproduce customer and partner issues in lab environments and analyze logs, core dumps, performance data, and system behavior to determine root causes. Collaborate closely with engineering, product, and validation teams to drive issue resolution, validate fixes, and provide critical field feedback. Document debug methodologies, technical findings, and solutions while contributing to internal knowledge bases and best practices. Support large-scale cluster bring-up activities, new product introductions, and strategic customer deployments as experience grows. Develop and deliver technical training sessions and collateral covering new products, feature enhancements, and advanced troubleshooting methodologies.

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience. Knowledge of CPU and GPU architecture concepts, memory hierarchies, and system-level behavior. Experience with Linux systems, command-line tools, system administration, and low-level debugging using tools such as kernel logs and gdb. Relevant experience gained through internships, co-ops, academic projects, or early-career technical roles. Working understanding of GPU architecture and GPU-accelerated workloads, including experience using AMD or NVIDIA GPU platforms. Foundational understanding of server and accelerator architectures, including PCIe topologies, CPU-GPU interconnects, memory hierarchies, and NUMA concepts. Exposure to AI or HPC workloads and familiarity with