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Field Application Engineer - AI

Taiwan, Taipei City · Job Posted March 26, 2026
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Job Description

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.

Job Responsibility

  • Support winning new AI business
  • Liaise and advise customers and partners through Proof of Concepts ‘POCs’, presentations, and training
  • Engineering: execute popular and customer-driven AI inference and training workloads
  • Run training and inference performance investigations
  • Build a body of documentation for internal and external dissemination
  • Proactive engagement across AMD teams
  • Assist in creating Total Cost of Ownership models
  • Technically owning and resolving customer and partner issues

Requirements

  • Track record working within AI
  • Demonstrable hands-on expertise working with popular AI frameworks
  • Strong positive can-do attitude
  • Skilled in independently prioritizing opportunities
  • Excellent verbal and written communication skills
  • Open to travel both domestic and international, approximately 10-20% over a year
  • Good English
  • Demonstrated experience with training and inference workloads on GPUs
  • Executing applications in common frameworks (Pytorch, Tensorflow, Jax)
  • Customer-facing experience
  • Some Linux administration
  • Bachelors' Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred

Nice to have

  • Hands-on AI experience within automotive, finance, enterprise, defense verticals
  • 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
  • Deep Neural Networks and their design for different Machine Learning cases
  • Any experience understanding/inspecting/writing assembly
  • Understanding of memory and cache hierarchy
  • Government level security clearance
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