← All roles

Field Applications Engineer, AI Infrastructure

AMD· Engineering
Apply on company site
Hybrid (Austin, TX)$114.4kFull-timePosted 1mo ago

About the role

Field Applications Engineer to join AMD's Global Partner Support team, focusing on data center GPUs, AI software stack, and collaboration with customers and partners. Early-career role with increasing ownership in debugging, triage, and resolution of complex issues across hardware, software, and AI workloads in high-impact environments.

Responsibilities

  • Participate in system-level debugging of GPU, driver, networking, and AI software issues across single-node and multi-node environments, progressively taking ownership of complex debug efforts.
  • Support post-sales technical engagements with cloud providers, OEMs, ODMs, enterprise customers, and strategic partners.
  • Reproduce customer and partner issues in lab environments and analyze logs, core dumps, performance data, and system behavior to determine root causes.
  • Collaborate closely with engineering, product, and validation teams to drive issue resolution, validate fixes, and provide critical field feedback.
  • Document debug methodologies, technical findings, and solutions while contributing to internal knowledge bases and best practices.
  • Support large-scale cluster bring-up activities, new product introductions, and strategic customer deployments as experience grows.
  • Develop and deliver technical training sessions and collateral covering new products, feature enhancements, and advanced troubleshooting methodologies.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
  • Knowledge of CPU and GPU architecture concepts, memory hierarchies, and system-level behavior.
  • Experience with Linux systems, command-line tools, system administration, and low-level debugging using tools such as kernel logs and gdb.
  • Relevant experience gained through internships, co-ops, academic projects, or early-career technical roles.
  • Working understanding of GPU architecture and GPU-accelerated workloads, including experience using AMD or NVIDIA GPU platforms.
  • Foundational understanding of server and accelerator architectures, including PCIe topologies, CPU-GPU interconnects, memory hierarchies, and NUMA concepts.
  • Exposure to AI or HPC workloads and familiarity with frameworks such as PyTorch or TensorFlow.
  • Proficiency in at least one programming language, such as Python, C/C++, or Java.
  • Experience using source control systems such as Git.
  • Strong analytical, problem-solving, and communication skills with the ability to work effectively alongside highly technical customer and partner teams.

Skills

Required:CPU and GPU architecture conceptsLinux system administrationProgramming languagesGPU platforms (AMD/NVIDIA)

Benefits

  • Benefits offered are described: AMD benefits at a glance (link provided in posting)
Last updated Oct 22, 2026. Interested? Apply on the company site.
AMD logo

About AMD

together we advance_AI

AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

AIData CenterHigh-Performance ComputingGamingEdge Devices
Company profileWebsite

More open roles at AMD