Senior Field Application Engineer – AI

Job Title

Senior Field Application Engineer – AI

Role Summary

Join the AI and HPC Center of Excellence to provide hands-on field engineering support that enables customers and partners to run AI training and inference workloads on AMD datacenter platforms. The role combines workload execution and performance analysis with customer-facing activities such as presentations, training, and RFP support.

Based in the United States (Austin, TX) with ~10–20% domestic and international travel.

Experience Level

Senior — experienced individual contributor with a senior-level background in AI system performance and customer-facing engineering (title indicates senior level).

Responsibilities

Primary responsibilities include hands-on workload execution, performance characterization, and direct customer engagement.

• Enable customers to run AI workloads on AMD Instinct GPUs, Pensando Pollara AI NICs, and EPYC CPUs; support partners in RFP responses and POCs.
• Execute and tune training and inference workloads using common frameworks and benchmarks (PyTorch, TensorFlow, JAX, MLPerf, Hugging Face, etc.).
• Investigate system- and software-level impacts on performance; compare performance versus competitors.
• Produce technical documentation: internal guides, whitepapers, tuning guides, and training collateral.
• Deliver presentations and technical training to customers and partners, remotely and in person.
• Work cross-functionally with GPU business unit, engineering, architecture, platform, software, and product teams; file and drive resolution of customer issues (JIRA).
• Contribute to Total Cost of Ownership analyses to support pricing and bids.

Requirements

Strong practical AI engineering skills and customer-facing experience are required; below are must-have and nice-to-have items.

• Must-have: Current hands-on role working on AI training or inference workloads as a core responsibility.
• Must-have: Demonstrable experience executing and tuning workloads on GPUs and familiarity with common frameworks (PyTorch, TensorFlow, JAX).
• Must-have: Customer-facing experience; ability to write technical documents and present to engineers and leadership.
• Must-have: Ability to prioritize independently, troubleshoot systems end-to-end, and drive fixes through internal teams.
• Must-have: Familiarity with Linux administration and typical HPC/AI middleware setup.
• Must-have: Willingness to travel ~10–20% annually (domestic and international).

Nice-to-have:

• Experience with ML repositories and benchmarks (Hugging Face, MLPerf) and understanding performance differences.
• Familiarity with MLops and virtualization/container tools (KVM, Kubernetes, OpenStack, OpenShift).
• Programming experience in HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP.
• Knowledge of inter-node networking impact at scale, datacenter deployment/management, memory/cache hierarchy analysis, or low-level inspection/assembly.
• Prior experience in automotive, finance, healthcare, or defense verticals; government security clearance is a plus.

Education Requirements

Bachelor's degree in a technical field preferred (Computer Science, Electrical Engineering, Physics, Mathematics). The posting does not state a strict degree requirement or an explicit "equivalent experience" clause.

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.