About this role
THE ROLE: AMD is looking for a systems-minded performance engineer to own the workloads most exposed to hyperscaler custom CPUs, Arm ecosystem momentum and AI-system architecture. You will measure and explain cloud-native performance, price-performance, performance-per-watt, software maturity and host-CPU effects on accelerator utilization. The work requires fair methods for comparing AMD EPYC with Intel, Arm Neoverse-based platforms, cloud-custom CPUs, NVIDIA Grace-class systems and other emerging designs.
THE PERSON: You are curious at every layer of the system. You can move from containers, orchestration and application throughput down to NUMA placement, memory bandwidth, interconnect behavior and CPU-to-accelerator data movement - then explain the business consequence in a concise, evidence-based way. You care as much about deployability and software maturity as about a benchmark score.
KEY 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.
KEY RESPONSIBILITIES
- Deep hands-on experience benchmarking and profiling cloud, distributed or accelerated-system workloads.
- 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.
- Ability to design fair experiments across dissimilar CPU architectures and platform configurations.
- Experience with application profiling, hardware performance counters and system telemetry.
- Understanding of AI host-side bottlenecks, CPU-to-accelerator data movement, NUMA, memory bandwidth and interconnect effects.
- Strong technical writing and presentation skills, plus the ability to collaborate with external partners and reproduce results outside one lab.
PREFERRED RESPONSIBILITIES:
- Hands-on experience with Arm Neoverse or cloud-custom Arm platforms.
- Experience benchmarking major cloud-service-provider instances and services.
- Experience measuring AI system throughput or accelerator utilization as a function of host-CPU and platform behavior.
- Familiarity with LPDDR or HBM-attached CPU systems, coherent CPU-accelerator links, high-speed networking or storage pipelines.
- Participation in MLCommons, OCP or other relevant benchmark or standards communities.
WHY THIS OPPORTUNITY STANDS OUT:
- Work at the intersection of cloud-native software, custom silicon and next-generation AI systems.
- Own full-stack investigations from application behavior to architecture and rack-level economics.
- Influence optimization and product discussions before competitive narratives are set.
- Build relationships and technical credibility across AMD, cloud providers and ecosystem partners.
ACADEMIC CREDENTIALS:
- Bachelors or Masters degree in electrical or computer engineering
LOCATION
Austin, Texas
This role is not eligible for visa sponsorship.