← All roles

Principal Cloud & AI Workload Performance Analysis Engineer

AMD· Engineering
Apply on company site
Hybrid (Austin, TX)$200k - $300kFull-timePosted 1mo ago

About the role

Performance engineer focused on cloud-native and AI workloads to evaluate, compare and forecast performance across AMD, Intel, Arm and cloud-custom environments, with emphasis on hyperscaler CPUs, Arm ecosystem momentum and AI-system architecture.

Responsibilities

  • Define and maintain the cloud-native and AI workload taxonomy used in competitive analysis and forecasting.
  • Design reproducible methods for web services, microservices, containers, scale-out data processing, caching, cloud infrastructure and CPU-support functions in AI systems.
  • Compare AMD, Intel, Arm and cloud-custom environments using aligned software versions, tuning policies, instance shapes and service-level objectives.
  • Analyze host-CPU impact on accelerator utilization, input pipelines, communication overheads, memory movement, NUMA behavior and end-to-end AI system throughput.
  • Measure and model performance-per-watt, density, utilization and price-performance where the inputs can be normalized defensibly.
  • Track compiler, kernel, library, orchestration and migration factors that affect Arm and cross-ISA deployability.
  • Work with architecture experts to explain memory, interconnect and platform bottlenecks behind observed results.
  • Translate current scaling behavior and software trends into 24-36 month forecast inputs and early risk or advantage assessments.
  • Develop cross-ISA methodology documentation that can withstand partner, customer and internal technical scrutiny.
  • Support validation with approved cloud, OEM, ISV and ecosystem partners and produce decision-ready technical and executive reports.

Qualifications

  • Bachelor’s or Master’s degree in electrical or computer engineering

Skills

Required:Cloud-native workload benchmarking and profilingLinux systems and automation/scriptingContainers, orchestration and scale-out data processingFair experimental design across dissimilar CPU architecturesApplication profiling and hardware performance countersAI host-side bottlenecks and CPU-to-accelerator data movementTechnical writing and presentation
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