Senior Field Application Engineer

Salary: £32,000 - 72,000 per year

Requirements:

• Clear track record of technical execution on HPC opportunities.
• Expertise in HPC application performance testing on CPU, and ideally GPU.
• Strong understanding of the HPC toolchain, runtime performance optimisation, and system design impacts and mitigation strategies.
• Strong technical program management skills.
• Ability to lead technical relationships with customers and HPC partners.
• Ability to independently prioritise opportunities and deliver results on time.
• Excellent verbal and written communication skills.
• Good level of business English.
• Strong positive can-do attitude and willingness to do what is necessary.
• Willingness to travel domestically and internationally approximately 10-25%.
• Track record of winning HPC opportunities over a 3-year period is preferred.
• Experience compiling large codes from source, such as large weather codes, with appropriately linked math libraries and flag optimisation is preferred.
• Strong understanding of different toolchains, such as ZenSS, Intel, and CPE, is preferred.
• Proven understanding of baseline testing of popular synthetic and real-world codes, such as HPL, OpenFOAM, molecular dynamics, CFD, and weather, is preferred.
• Understanding of system-level hardware and its configuration and impact on performance to enable projections on future performance is preferred.
• Customer-facing experience is preferred.
• Ability to write technical documents and communicate appropriately for different audiences is preferred.
• Some Linux administration experience and understanding of HPC middleware setup is preferred.
• Experience building and running HPC applications on GPU is a nice to have.
• CUDA, OpenACC, or OpenMP experience is a nice to have.
• Experience running AI models on CPU or GPU is a nice to have.
• Understanding of assembly is a nice to have.
• Understanding of memory and cache hierarchy and methods to query performance and latency at each level is a nice to have.
• Understanding of HPC dataflow down to the register level is a nice to have.
• Bachelors degree in a technical field such as Computer Science, Electrical Engineering, Physics, or Mathematics is preferred.

Responsibilities:

• Lead HPC technical engagement in key customer accounts through product discussion and demonstration.
• Perform proofs of concept and performance testing on applications.
• Carry out hardware and toolchain performance debugging, testing, characterisation, and comparison.
• Provide CPU recommendations based on generated performance data.
• Liaise with partners on their HPC testing and provide hands-on assistance.
• Pitch and demonstrate EPYC and Instinct for HPC.
• Assist in creating TCO models to support pricing with the bid desk.
• Characterise applications on EPYC and Instinct and document results.
• Perform testing on early CPU samples.
• Engage with Engineering, Architecture, Platform, Software, and Product Development teams and provide feedback and leadership from the field on future direction.
• Create training material and provide training sessions at customer sites.
• Act as a specialist and mentor to the frontline Field Application Engineering team.
• Technically own and resolve customer and partner issues.
• Submit JIRA tickets and drive resolution.
• Automate repeatable procedures.

Technologies:

• AI
• CUDA
• Hardware
• Support
• JIRA
• Linux
• Security

More:

We are AMD, and we believe technology has the power to solve the worlds most important challenges. Our work spans healthcare, scientific discovery, AI, and the everyday technologies people rely on, and every role here contributes to advancing that future. We are hiring a Senior Field Application Engineer for our HPC and AI Centre of Excellence to lead technical engagement on HPC opportunities in Europe. This is a remote, home-based role, ideally located in the United Kingdom, with flexibility for candidates in the Netherlands, Finland, Poland, Italy, or Ireland. We offer the opportunity to work closely with customers, partners, and internal engineering teams while helping bring leading-edge AMD EPYC CPUs and Instinct GPUs to market.

last updated 37 week of 2026