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Senior Field Application Engineer – AI

AMD· Sales / Marketing
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Hybrid (Austin, TX)$194.6kFull-timePosted 6mo ago

About the role

Senior Field Application Engineer role in AMD's AI and HPC Center of Excellence focused on enabling AI workloads on AMD Instinct GPUs, Pensando Pollara AI NICs, and EPYC CPUs through hands-on technical support, performance investigations, and customer/partner training.

Responsibilities

  • Support winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs, AMD Pensando™ Pollara AI NICs, and EPYC CPUs. Supporting partners in RFP responses by testing requested workloads.
  • Build and nurture deep technical relationships with engineers, architects, and leaders at key customer accounts, and serve as a trusted advisor through application‑ and system/MLops‑focused POCs, 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.
  • 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.

Qualifications

  • Track record working within AI. 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.
  • Skilled in independently prioritizing opportunities to deliver results on time.
  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.
  • Open to travel both domestic and international, approximately 10-20% over a year.

Skills

Required:AI workload execution and tuningFrameworks (PyTorch, TensorFlow, JAX)Customer-facing communication
Nice to have:ML frameworks and tools (MLperf, Hugging Face)MLOps familiarity (KVM, Kubernetes, OpenStack, OpenShift)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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