Senior Enterprise & Database Performance Engineer

AMD; Town of Texas (WI); On-site; USD 150,000 - 230,000; Full time

Job summary

AMD in Austin, TX seeks an end-to-end performance engineer to own enterprise and database workloads, tuning and diagnosing CPU, memory, and software interactions. You will compare AMD EPYC with Intel Xeon and evaluate Arm platforms entering enterprise use cases, delivering reproducible results and clear technical communication.

You will build methods, runbooks and reports that highlight lead areas, risks and mitigations, while supporting post-launch analysis and future forecasts.

Qualifications

• Extensive hands-on performance engineering experience with enterprise or server applications at scale.
• Experience with relational or distributed databases, Java or JVM performance, analytics engines, virtualization or hypervisors.
• Demonstrated ability to tune full software stacks and distinguish CPU limitations from storage, network, runtime and configuration artifacts.
• Strong Linux and system-administration skills, including scripting and repeatable environment setup.
• Experience with profiling tools, hardware performance counters, NUMA analysis and system-level tuning.
• Strong understanding of throughput, latency, scaling, saturation, consolidation and service-level metrics.
• Clear technical writing and presentation skills, with high standards for benchmark fairness, documentation and reproducibility.
• Hands-on experience with both Intel Xeon and AMD EPYC enterprise platforms.
• Experience with Oracle, SQL Server, PostgreSQL, MySQL, SAP, Java application servers, analytics platforms or major virtualization stacks.
• Knowledge of software licensing and TCO dynamics that interact with CPU performance and consolidation.
• Experience with industry benchmark suites or customer, OEM or ISV performance labs.
• Cross-ISA enterprise workload experience on Arm.

Responsibilities

• Define and maintain an enterprise workload taxonomy spanning relational databases, Java, analytics, virtualization, consolidation and other priority server applications.
• Develop rigorous methods for throughput, latency, tail latency, scale-up and scale-out behavior, consolidation and service-level objectives.
• Analyze AMD versus Intel performance with attention to core configuration, frequency and power behavior, acceleration features, memory capacity and bandwidth, and platform setup.
• Evaluate compiler, JVM, database, kernel and library tuning so comparisons reflect realistic deployment choices rather than accidental configuration gaps.
• Use profiling and counters to explain CPU stalls, memory behavior, locks and contention, NUMA placement, storage or network dependencies and software bottlenecks.
• Measure performance-per-watt, consolidation and platform or rack TCO drivers where licensing and density matter.
• Translate bottleneck evidence into future architecture and performance assumptions with the architecture and forecasting teams.
• Maintain configuration manifests, runbooks and methodology control so results can withstand peer, partner and customer scrutiny.
• Create deep-dive technical reports and concise executive content showing AMD lead areas, risk areas, root causes and possible mitigations.
• Support fast post-launch analysis and use measured results to improve future forecasts.

Skills

Performance engineering

Relational databases

Java / JVM

Linux administration

Profiling tools

NUMA analysis

System tuning

Benchmarking

Cross-ISA (Arm)

Education

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

Tools

Oracle

SQL Server

PostgreSQL

MySQL

Java application servers

Analytics platforms

Virtualization stacks

Job description

AMD in Austin, TX seeks an end-to-end performance engineer to own enterprise and database workloads, tuning and diagnosing CPU, memory, and software interactions. You will compare AMD EPYC with Intel Xeon and evaluate Arm platforms entering enterprise use cases, delivering reproducible results and clear technical communication.

You will build methods, runbooks and reports that highlight lead areas, risks and mitigations, while supporting post-launch analysis and future forecasts.