Senior Field Application Engineer - AI

Job Title

Senior Field Application Engineer - AI

Role Summary

Join the HPC Centre of Excellence to enable customers and partners to run AI training and inference on AMD Instinct datacenter GPUs and EYC CPUs. This is a hands-on engineering role focused on benchmarking, tuning, documenting, and demonstrating AI workload performance on AMD hardware.

The role involves technical customer engagement, developing performance characterization and tuning guidance, and delivering presentations and training both remotely and in person.

Experience Level

Senior. The position seeks an experienced AI engineer with a proven track record executing and tuning training and inference workloads; no specific years-of-experience stated.

Responsibilities

Key responsibilities include technical enablement, benchmarking, and customer-facing support.

• Enable customers and partners to run AI workloads on AMD Instinct GPUs and EYC CPUs; support RFP/bid responses and POCs.
• Execute and tune training and inference workloads; run performance investigations and comparisons against competitors.
• Use common frameworks and repositories (PyTorch, TensorFlow, JAX, MLPerf, Hugging Face) to generate reproducible results.
• Create internal and external technical documentation: tuning guides, whitepapers, training collateral, and performance summaries.
• Deliver presentations and training to customers and partners, remotely and in person.
• Collaborate across GPU BU, engineering, architecture, platform, software, and product teams; raise and track JIRA issues to resolution.
• Assist with Total Cost of Ownership (TCO) models to support pricing and bids.
• Travel domestically and internationally (~10–20% per year) as required.

Requirements

Mandatory skills and experience expected for immediate contribution; followed by useful additions.

• Must-have: Hands-on experience running and tuning AI training or inference workloads on GPUs; demonstrable work with PyTorch, TensorFlow, or JAX.
• Must-have: Familiarity with AI repositories and benchmarks (e.g., Hugging Face, MLPerf) and ability to interpret performance differences.
• Must-have: Linux administration experience and knowledge of HPC/AI middleware setup.
• Must-have: Customer-facing experience, strong verbal and written technical communication skills, and ability to produce documentation and training materials.
• Must-have: Good English and willingness to travel 10–20% annually.
• Nice-to-have: MLops familiarity (KVM, Kubernetes, OpenStack, OpenShift) and system-level understanding of hardware impact on performance.
• Nice-to-have: Programming experience with HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP or similar.
• Nice-to-have: Experience with inter-node networking at scale, assembly inspection, memory/cache hierarchy analysis, or domain experience (automotive, finance, defense, enterprise).
• Nice-to-have: Government security clearance.

Education Requirements

Bachelor's degree in a technical field preferred (Computer Science, Electrical Engineering, Physics, Mathematics). No explicit statement about equivalent experience was provided.

About the Company

Company: Advanced Micro Devices

Headquarters: Sunnyvale, California, USA

Advanced Micro Devices, or AMD, is a global semiconductor company that designs and manufactures microprocessors, graphics processors, and related technologies for a variety of computing devices. Known for pushing the boundaries of innovation, AMD's mission is to deliver high-performance computing solutions for AI, data centers, gaming, and embedded applications. They foster a collaborative, inclusive culture focused on creativity and problem-solving, aiming to drive progress and excellence in technology.