Senior Cloud & AI Workload Performance Engineer

Advanced Micro Devices, Inc.; Austin (TX); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Benefits at a glance

Job summary

Advanced Micro Devices, Inc. (AMD) is seeking a systems-minded performance engineer to own workloads exposed to hyperscaler CPUs and AI systems. You will measure cloud-native performance, price-performance, and throughput, comparing AMD EPYC with Intel, Arm, and other architectures.

Strong emphasis on memory, interconnect, and data movement at scale. You will move from containers and orchestration down to NUMA placement and CPU-accelerator interactions, translating results into business impact

Qualifications

• Bachelor's or Master's in electrical or computer engineering.
• Experience benchmarking cloud-native and AI workloads.
• Strong Linux skills and scripting for deployment/analysis.
• Experience with containers, orchestration, and cloud workloads at meaningful scale.
• Ability to design fair experiments across dissimilar CPU architectures and platforms.

Responsibilities

• Define and maintain cloud-native and AI workload taxonomy for competitive analysis and forecasting.
• Design reproducible methods for web services, containers, scale-out data processing, and AI system support.
• Compare AMD, Intel, Arm and cloud environments with aligned software versions and SLAs.
• Analyze host-CPU impact on accelerator utilization, memory movement and end-to-end AI throughput.
• Measure and model performance-per-watt, density, and price-performance across platforms.
• Track compiler, kernel, library, and orchestration factors affecting cross-ISA deployability.
• Explain bottlenecks with architecture experts and translate trends into forecast inputs.
• Develop cross-ISA methodology documentation for partners and customers.
• Support validation with cloud/OEM/ISV partners and produce exec-ready reports.

Skills

Systems thinking

Analytical reasoning

Technical writing

Collaboration

Education

Bachelor's or Master's in Electrical or Computer Engineering

Tools

Linux

Docker

Kubernetes

Performance profiling tools

CPU architectures knowledge

Job description

Advanced Micro Devices, Inc. (AMD) is seeking a systems-minded performance engineer to own workloads exposed to hyperscaler CPUs and AI systems. You will measure cloud-native performance, price-performance, and throughput, comparing AMD EPYC with Intel, Arm, and other architectures.

Strong emphasis on memory, interconnect, and data movement at scale. You will move from containers and orchestration down to NUMA placement and CPU-accelerator interactions, translating results into business impact