System Application Engineer - Data Center GPU Platforms

Advanced Micro Devices, Inc.•Santa Clara, CA

50d•Hybrid

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Join AMD's Datacenter GPU Platform Application Engineering team as a System Application Engineer, supporting our Data Center GPU customers across Cloud, HPC, and OEM segments. In this customer-centric role, you will collaborate with external OEM partners, internal development and validation teams, and cross-functional stakeholders to bring next-generation server platforms to market powered by AMD's Instinct Accelerators-and ensure their successful deployment in customer data centers. THE PERSON: You are a hands-on technical problem solver who thrives at the intersection of hardware and software. You enjoy collaborating directly with customers and internal engineering teams to turn complex system challenges into actionable solutions. . You take ownership of outcomes, not just tasks, and you're driven by a passion for high-performance computing and enabling cutting-edge data center technologies. You'll excel in this role if you: Are energized by customer engagement and technical troubleshooting. Have strong analytical instincts and a structured approach to problem solving. Communicate clearly and proactively across technical and non-technical audiences. Enjoy collaborating across hardware, firmware, and software disciplines. Bring curiosity, creativity, and persistence to complex engineering challenges.

Requirements

Solid years' experience in Data Center system design, board design, validation, or Application Engineering, preferably in external customer facing roles.
Strong knowledge in PC/server architecture and interfaces, experience with system level debug.
Strong System Level debugging skills with hands-on experiences in system bring-up, HW debug, and performance optimizations on various system architectures.
Understanding and experience working with Enterprise Linux environment (Ubuntu, CentOS/RHEL and SLES).
Excellent oral and written communication skills to communicate technical results clearly and accurately.
Test or design experience in system interconnect technologies (PCIe, XGMI, CXL, USB, I/O Controllers)
Familiarity with various deployment models including cloud, virtualization and containers.
Automation, orchestration, delivery via Kubernetes, Docker, or Mesos.
Experience or knowledge of server firmware/BIOS settings, boot process, server monitoring and management SW.
Experience relating to power and thermal management.
Solid knowledge of Shell/BASH, C/C++, Python, or other framework.
BS in Electrical Engineering, Computer Engineering, or Computer Science. MS or PhD a plus.

Nice To Haves

Experience with OpenCL, CUDA, or ROCm is a plus.

Responsibilities

Manage technical interaction with OEM/ODM Partners to enable deployment of AMD Instinct Accelerators in Partner systems.
Support Partners in the bring-up and validation of AMD Instinct GPUs in their system, guide partners on use of AMD tools, qualification test methods, and analysis of test results.
Lead the debug of Partner/Customer issues (HW, firmware, driver), working with a cross-functional team and driving the root cause investigation.
Work with Partners on the development of manufacturing/screen tests to ensure reliability at scale.
Understand Partner requirements and schedule, identify gaps in AMD offering and work with other stakeholders to close them.
Author design guideline, technical presentations, and training material.
Provide recommendation to improve customer experience with our SW and HW.