Senior Field Application Engineer - HPC

Senior Field Application Engineer - HPC

The role:

We are seeking a Senior Field Application Engineer to join our HPC and AI Centre of Excellence (CoE), to lead the technical engagement of HPC opportunities in Europe. This is a customer facing role where you will:

• help position AMD EPYC CPUs and Instinct GPUs. Influencing customer
• perform Proof of Concepts, building and running popular applications, customer in-house applications, coordinating with and assisting partners
• own the technical remit of your accounts: qualification, stakeholders, understand timelines, coordinate within internal stakeholders and external partners
• test new AMD products prior to launch and characterise performance

In addition to being customer and partner-facing this is a 'hands-on' role working both independently and with other AMD engineers. There is a strong emphasis on performing Proof of Concepts, tackling technical software and hardware HPC performance, debug, and capability issues, collaborating with Field Application Engineering 'FAE' peers, Sales colleagues, CPU and GPU Business Units, Architecture, Software, Platform teams.

The person:

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

• clear track record of technical execution on HPC opportunities.
• expertise in HPC application performance testing on CPU (and ideally GPU). Understands HPC toolchain, how to optimise runtime performance and understands impact of system design and potential mitigation/exploitation strategies
• strong technical program management skills. Ability to lead technical relationships with both customers and HPC partners
• ability to independently prioritize opportunities to deliver results on time
• excellent verbal and written communication skills
• good level of business English.
• strong positive can-do attitude willing to do what is necessary. Runs to problems. Available to help colleagues.
• open to travel domestic and international, approximately 10-25%

Key responsibilities:

• lead HPC technical engagement in key customer accounts through product discussion and demonstration.
• proof of concepts and performance testing applications. Hardware and toolchain performance debug, testing, characterisation and comparison. Providing CPU recommendations based on generated performance data.
• liaising with partners on their HPC testing. Providing 'hands-on' assistance
• pitching and demonstrating EPYC and Instinct for HPC.
• assist in creating TCO models to assist pricing with bid desk
• characterising applications on EPYC and Instinct, documenting results.
• perform testing on early CPU samples. Active engagement with Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on future direction.
• create necessary training material. Provide training sessions at customer sites. Act as specialist and mentor to frontline Field Application Engineering team
• technically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution
• automating repeatable procedures

Preferred experience:

• candidate has a track record in winning HPC opportunities over a 3+ year period
• expertise in compiling large codes from source, eg large weather codes, with appropriately linked math libraries and flag optimisation. Strong understanding of different toolchains (e.g. ZenSS, Intel, CPE)
• ability to pitch product and influence customers
• proven understanding of baseline testing of popular synthetic and real world codes (e.g. HPL, OpenFOAM, molecular dynamics, CFD, weather)
• understanding system level hardware and its configuration/impact on performance to enable projections on future performance
• 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 middleware.

Nice to haves:

• 5+ years HPC application experience
• experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms.
• experience running AI models on CPU or GPU.
• any experience understanding/inspecting/writing assembly
• understanding of memory and cache hierarchy and methods to query performance/latency at each level
• understanding HPC dataflow down to the register-level
• security clearance for the national labs in the USA

Academic credentials:

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

Location:

United Kingdom (but also open to Germany, Netherlands, Finland)