Field Application Engineer - AI

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We are seeking an AI Application Engineer to join the HPC Centre of Excellence (HPC CoE). 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’ datacentre 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 ‘hand-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 Japan 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 verbal and written communication skills Open to travel both domestic and international, approximately 10-20% over a year Good English   KEY RESPONSIBILITIES: Support winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs and EYC CPUs. Supporting partners in RFP responses by testing requested workloads. Liaise and advise customers and partners through Proof of Concepts ‘POCs’, presentations, and training. POCs can be application or system/MLops oriented 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, Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on requirements. Gathering missing functionality and working with Engineering to resolve and test Assist in creating Total Cost of Ownership models to aid pricing with bid desk Technically owning and resolving customer and partner issues. Submitting JIRA tickets and