Description
Hewlett Packard Enterprise is seeking a hands-on System Performance Test Engineer to drive AI-powered innovation and automation across its existing NonStop System Performance test suite.
As a member of the NonStop Performance Team, you will participate in NonStop System Performance testing and provide end-to-end performance evaluation of the NonStop Compute and Software solution.
Responsibilities:
- Become a participating member of the NonStop Performance Team to understand day-to-day performance testing workflows and identify AI innovation and automation opportunities.
- Collaborate with the NonStop Performance Team Engineering Lead to identify and execute prioritized AI productivity innovations and automation.
- Execute, define, and drive performance activities, including metrics, KPIs, SLOs, benchmarks, acceptance criteria, and regression gates for releases.
- Translate product performance and workload requirements into repeatable performance test plans.
- Use tools such as Measure, ProcessH, XProfile, Wireshark, and LoadRunner analysis tools to perform full-stack profiling.
- Analyze contention, interrupt distribution, socket backlogs, TCP/IP and RDMA tuning, storage queues, and filesystem behavior to produce clear root-cause analyses.
- Partner with hardware, firmware, OS, storage, and networking teams to co-own performance outcomes.
In Support of AI Innovation Initiatives:
- Create and maintain team-level AI artifacts.
- Build and refine AI personas for specific use cases.
- Implement AI-assisted test suite workflow automations.
- Prototype and deliver tools in Python, with clear documentation and adoption guidance.
- Track and report impact metrics for implemented changes.
Requirements:
- Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, IT Engineering, or a related field.
- 5+ years of experience in system performance engineering with strong coding skills.
- Proficiency in Python programming for test automation, tooling development, AI-assisted workflow automation, data analysis, and integration of AI-powered solutions.
- Practical experience using AI coding tools.
- Experience delivering automation or developer tooling used by multiple engineers.
- Strong written and verbal communication skills.
Nice-to-Have:
- Experience with prompt design and structured evaluation of AI output quality.
- Experience creating internal technical documentation.
- Exposure to secure coding or quality engineering practices.
Desired Characteristics:
- Passion for improving productivity through AI and automation.
- Strong technical curiosity and a data-driven mindset.
- Ability to influence teams and drive adoption without direct authority.
- Comfortable operating amid ambiguity in fast-moving AI tooling environments.