Senior Cloud & AI Performance Engineer

AMD; Town of Texas (WI); On-site; USD 140,000 - 190,000; Full time

Job summary

AMD in Austin, Texas is seeking a systems-minded performance engineer to own workloads exposed to hyperscaler CPUs, AI systems and accelerator utilization. You will measure cloud-native performance, price-perf and memory bandwidth while explaining business implications.

You will work across containers, NUMA, interconnects and host-CPU effects, design fair experiments across CPU architectures, and produce decision-ready technical and executive reports.

Qualifications

• Strong Linux systems skills and proficiency with automation or scripting for deployment and analysis.
• Experience with containers, orchestration and cloud-native workloads at meaningful scale.
• Understanding of AI host-side bottlenecks, CPU-to-accelerator data movement, NUMA, memory bandwidth and interconnect effects.

Responsibilities

• Define and maintain cloud-native and AI workload taxonomy for competitive analysis and forecasting.
• Design reproducible methods for web services, microservices, containers, scale-out data processing, caching, cloud infra and CPU-support functions in AI systems.
• Compare AMD, Intel, Arm and cloud-custom environments with aligned software versions and tuning policies.
• Analyze host-CPU impact on accelerator utilization, memory movement and end-to-end AI system throughput.
• Measure and model performance-per-watt and price-performance with defensible comparisons.
• Track compiler, kernel, libraries, orchestration and migration factors affecting Arm and cross-ISA deployability.
• Collaborate with architecture experts to explain bottlenecks and forecast scaling and risk.

Skills

Linux systems

Automation scripting

Containers & orchestration

Application profiling

AI system bottlenecks

Technical writing

Education

Bachelor's or Master's in electrical or computer engineering

Tools

Linux

Performance counters

Scripting

Job description

AMD in Austin, Texas is seeking a systems-minded performance engineer to own workloads exposed to hyperscaler CPUs, AI systems and accelerator utilization. You will measure cloud-native performance, price-perf and memory bandwidth while explaining business implications.

You will work across containers, NUMA, interconnects and host-CPU effects, design fair experiments across CPU architectures, and produce decision-ready technical and executive reports.