Sr. Field Applications Engineer, Datacenter & AI Systems Debug and Deployment Support - TX, Austin, United States
Originally posted 3 September 2026 by the employer.
This role involves debugging and deploying AMD Data Center GPUs and the AI software stack.
About the role
This role is for a Field Applications Engineer to join the Global Partner Support team, focusing on the intersection of data center hardware, system software, and AI workloads. You will work to debug, triage, and resolve complex issues involving AMD Data Center GPUs and the AI software stack.
What you'll do
- Participate in system-level debugging of GPU, driver, networking, and AI software issues across single-node and multi-node environments.
- 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.
What you'll need
- 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.
- 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.
Nice to have
- Hands-on experience with modern data center GPU platforms, including AMD Instinct™ accelerators and comparable NVIDIA solutions.
- Direct experience with GPU programming frameworks such as ROCm HIP or CUDA.
- Experience using performance analysis and debugging tools such as rocProf, ROCgdb, AMDuProf, or PyTorch Profiler.
- Familiarity with high-performance networking technologies including InfiniBand, RoCE, and RDMA concepts.
- Knowledge of distributed GPU communication frameworks such as RCCL and NCCL.
- Experience with containerization and orchestration technologies such as Docker, Kubernetes, or Slurm.
- Experience supporting or debugging HPC clusters, AI training environments, inference deployments, or proof-of-concept systems.
- Previous experience working with OEMs, ODMs, cloud service providers, or large enterprise customers.
Skills: datacenter GPUs, AI software stack, system-level debugging, customer support, Linux systems
This role has been open 41 days — below the 44-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
99
|
Median days open
44 d
|
Median salary
$261k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (99 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 11 | 99 |
| Median days open | 57 d | 44 d (+13 d vs this employer) |
| Median salary (USD postings) | — | $261k |
Skills observed across this category: datacenter GPUs, AI software stack, system-level debugging, customer support, Linux systems
Who's hiring in this category
- NVIDIA · 58 open roles · median 44 d
- AMD (this employer) · 11 open roles · median 57 d
- Tenstorrent · 8 open roles · median 69 d
- NXP Semiconductors · 4 open roles · median 36 d
- Qualcomm · 3 open roles · median 83 d
- Microchip Technology · 2 open roles · median 27 d
How we counted: 99 open Applications FAE (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.