AI Systems Performance Engineer
Austin, TX$121.7k - $182.5kFull-timePosted 2w ago
About the role
Role within AMD's AI Systems Power and Performance Engineering team focused on evaluating and optimizing AI workloads across AMD embedded and client platforms, delivering data-driven insights to influence product development and customer success.
Responsibilities
- Benchmark and characterize AI inference workloads across AMD embedded and client platforms.
- Execute performance, power, and efficiency analysis of modern AI workloads, including Large Language Models (LLMs), Vision Language Models (VLMs), computer vision applications, and emerging AI use cases.
- Develop and maintain automated benchmarking environments and performance dashboards.
- Configure and optimize AI workload execution environments using industry-standard frameworks and runtimes.
- Collect, analyze, and interpret system-level performance traces using hardware and software profiling tools.
- Investigate workload bottlenecks involving compute, memory bandwidth, latency, and system resource utilization.
- Work closely with software, firmware, architecture, and platform teams to support performance analysis and optimization activities.
- Support the development of benchmarking methodologies used for competitive analysis and product evaluation.
- Generate data-driven reports and present findings to engineering stakeholders.
Qualifications
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Skills
Required:AI inference frameworksAI model architecturesLinuxProfiling and tracing toolsProgramming/ScriptingHardware-software interactions
Nice to have:PlatformsPower and performance optimizationBIOS and bring-up
Benefits
- Benefits offered are described: AMD benefits at a glance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
About AMD
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