Senior Field Application Engineer, AI

Amd

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Austin, TX
Salary
$194,560–$291,840 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday
Closes
Jul 23, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $243k
$105k most similar roles pay here $312k

This role pays more than 87% of similar roles. Most pay $151,000–$217,218 — the shaded band above. At the midpoint, this role pays about $243k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Field Application Engineer, AI

Senior Field Application Engineer – AI The Senior Field Application Engineer – AI joins the AI and HPC Center of Excellence to support customers and partners in executing AI workloads on AMD Instinct GPUs, Pensando Pollara AI NICs, and EPYC CPUs. This hands-on technical role involves conducting performance investigations for training and inference workloads, creating technical documentation such as whitepapers and tuning guides, and providing technical leadership during proof-of-concept projects. The successful candidate will utilize frameworks like PyTorch, TensorFlow, and JAX, while leveraging tools including MLperf and Hugging Face. Required skills include expertise in MLOps environments involving Kubernetes and OpenStack, Linux administration, and a deep understanding of how software stacks and hardware designs impact performance. The role focuses on solving technical challenges related to AI performance, competitive positioning, and optimizing system-level architecture for large-scale datacenter deployments.

What you'll do

  • Provide hands-on technical support to customers and partners to enable AI workloads on AMD Instinct GPUs.
  • Execute and tune training and inference workloads using frameworks like PyTorch, TensorFlow, and JAX.
  • Conduct performance investigations to understand how system and software choices impact AI workload results.
  • Create technical documentation including whitepapers, tuning guides, and training collateral for internal and external use.
  • Build and nurture technical relationships with customer engineers and architects as a trusted advisor.
  • Provide feedback to internal engineering teams regarding field requirements and missing functionality.
  • Resolve customer and partner issues by managing JIRA tickets and driving technical resolutions.
  • Assist in creating Total Cost of Ownership models to support the bid desk during pricing negotiations.

What we're looking for

  • A Bachelor's degree in a technical field such as Computer Science, Electrical Engineering, Physics, or Mathematics is preferred.
  • Proven track record and hands-on experience executing and tuning AI training and inference workloads.
  • Demonstrable expertise with common AI frameworks including PyTorch, TensorFlow, and JAX.
  • Experience with popular AI repositories such as Hugging Face and MLperf.
  • Familiarity with MLOps tools including KVM, Kubernetes, OpenStack, and OpenShift.
  • Proficiency in Linux administration and understanding of HPC/AI middleware setup.
  • Ability to create technical documentation, whitepapers, and training collateral for diverse audiences.
  • Experience in customer-facing roles with the ability to deliver presentations both remotely and in person.

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