Specialist Performance QA Engineer

High Performance Computing, AI and Labs is a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers’ digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world’s most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what’s next for you.

Requirements

• Execute, define and drive the performance activities: metrics, KPIs, SLOs, benchmarks, acceptance criteria, and regression gates for releases.
• Translate product performance and workload requirements (e.g., OLTP, market data, telecom signalling, replication/backup) into repeatable performance test plans.
• Design and execute micro-, component-, and system-level benchmarks (SPEC CPU/CPU2017, SPECjbb, TPC-like models, iPerf/netperf, custom harnesses) across bare metal, virtualized (KVM, VMware, QEMU).
• Help build representative synthetic and production-like workload models (latency percentiles, tail behavior, burstiness, diurnal patterns).
• Use tools such as measure, processh, xprofile, Wireshark (run-time performance data collection), LoadRunner analysis tools and perform full-stack profiling (CPU, memory, caches, NUMA locality, I/O paths, interrupts, network stack, kernel scheduling).
• Analyze contention (locks, queues), Interrupt distribution, socket backlogs, TCP/IP/RDMA tuning, storage queues, and filesystem behavior to produce clear root-cause analyses with system software development teams

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion