Field Application Engineer - Sovereign 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. Sovereign AI Field Application Engineer - EMEA The Role We are seeking a Senior Field Application Engineer (FAE) to join the Centre of Excellence (CoE) to lead the AI discussion and demonstration within the worlds largest national labs and sovereign AI centres. The role broadly involves;

• Providing technical AI positioning and Proof of Concepts for AI factories, Gigafactories and other Sovereign AI customers at both application and systems level
• ‘Hands-on’ engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads.
• Owning the technical interface into the customer and qualification. Working closely with sales and partners to position AMD solutions. Understanding concerns and blockers.
• Positioning AMD Instinct GPUs, EPYC CPUs and our new ‘AI smart NICs’

This role is a mixture of strong presales engagement and customer management, coupled with a ‘hand-on’ technical engineering role at both application and system level. While the ability to run AI models and achieve the highest performance (backed by a strong team) is important, the capability to position within your accounts, the ability to guide and influence the customer, coordinate resources within AMD and strong and appropriate communication are also key to success in this role. We are also interested to discuss the role with individuals who largely have a HPC background (must have GPU experience) but are interested in a career move to AI with a determination for a steep on-ramp.

This is a very exciting time within the industry, particularly in the sovereign AI space where nations and entire regional geographies are announcing truly significant budgets for their national programs. As such the role will provide the successful candidate exposure to some of the largest programs globally to grow the AMD business, and visibility through to the executive team within AMD.

The role is based within Europe. While initially focused on Europe, there is likely to be a requirement to cover. Asian Sovereign AI programs also. As such the role will require some travel to customers and conferences.

The Person Does this sound familiar? We'd love to talk!

• Demonstrable hands-on expertise working with either popular AI frameworks and models on GPU
• Experience leading large technical programs or opportunities
• Strong systems background. Understands and can quantify the impact of system architecture on performance
• 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
• Based in Europe ideally EU zone.
• Open to travel both domestic and international, approximately 10-20% over a year. Anticipate a ramp period with increased travel at the start

Key Responsibilities

• Support winning new AI business in national AI and HPC centres. Enabling customers to execute their AI workloads on AMD Instinct GPUs, EPYC CPUs, and AI NICs. Supporting partners in RFP responses by testing requested workloads.
• Owning technical qualification of the customer, partnering with Sales and Business Unit orgs.
• Demonstrate and advise customers and partners through Proof of Concepts, 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
• Provide onsite training
• 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 driving resolution

Preferred Experience

• Demonstrated experience with training and inference workloads or conventional HPC applications on GPUs
• Presales exposure leading the technical discussion and positioning within accounts. Total Cost of Ownership analysis versus competitor
• Executing applications in common frameworks (Pytorch, Tensorflow, Jax).
• Proven understanding of baseline testing of popular AI applications (e.g. Resnet, BERT, DLRM, etc) and other real world codes such as Large Language Models, image detection, NLP, recommendation engines etc
• Understanding system level hardware design and its impact on performance
• Understand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications
• Customer-facing experience. Able to write technical documents and communicate at an appropriate level depending on the audience
• Some Linux administration; understanding setup for HPC/AI middleware.

Nice To Haves

• Hands-on AI and HPC experience within large national HPC centres.
• Programming experience with any of HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP, pSTL
• Understanding impact of inter-node network choices on performance at scale. Creating performance projections for applications
• Deep Neural Networks and their design for different Machine Learning cases.
• Any experience understanding/inspecting/writing assembly
• Understanding of memory and cache hierarchy and methods to query performance/latency at each level. Inspecting and dataflow down to the register-level
• Government level security clearance

Academic Credentials

• Bachelors' Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred

LOCATION: United Kingdom (Germany, Netherlands, Finland also possible)

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.