Senior Field Application Engineer – AI

WHAT YOU DO AT AMD CHANGES EVERYTHING   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.

We are seeking a Field Application Engineer to join the AI and HPC Center of Excellence. The role broadly involves: working with customers and partners in support of RFP-driven requests. Providing hands-on support to customers and partners to enable their AI workloads to run on AMD ‘Instinct’ datacenter GPUs broader engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads. Understand competitive positioning creating a body of technical documentation of AI performance on AMD hardware to support the Field Application team, partners, and customers This is a ‘hands-on’ technical role, and we are looking for an individual with an established background in AI who is already familiar in executing and tuning training and inference workloads. In addition to the technical aspect you will also need to be able to create and deliver presentations and training both remotely and in person to our customers and partners.   AMD continues to ramp its in-house AI expertise, and as such this role provides an opportunity for the candidate to grow within the role while creating a significant impact on the wider business, with significant visibility to executive level within AMD.   The role is based within the United States and will require some travel to customers and conferences both nationally and internationally.   THE PERSON: Does this sound familiar? We'd love to talk! Track record working within AI. You are currently in a role undertaking AI inference or training as a key part of your function. Demonstrable hands-on expertise working with popular AI frameworks. Strong positive can-do attitude willing to do what is necessary and lead others in the wider FAE team by example. Available to help colleagues. Skilled in independently prioritizing opportunities to deliver results on time. Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Open to travel both domestic and international, approximately 10-20% over a year.

Support winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs, AMD Pensando™ Pollara AI NICs, and EPYC CPUs. Supporting partners in RFP responses by testing requested workloads. Build and nurture deep technical relationships with engineers, architects, and leaders at key customer accounts, and serve as a trusted advisor through application‑ and system/MLops‑focused POCs, presentations, and training. Engineering: execute popular and customer-driven AI inference and training workloads, generate results and create a characteristic understanding of AI performance on AMD hardware. Understand how system and software choices affect performance. Compare performance to our competition. Run training and inference performance investigations using common frameworks (Pytorch, Tensorflow, JAX) and using MLperf, Hugging Face etc. Build a body of documentation for internal and external dissemination: AMD-internal guides, whitepapers, tuning guides, training collateral. Proactive engagement across AMD teams: GPU Business Unit,