System Performance Test Engineer (AI, Automation)

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.

As a member of the Performance Team, you may be tasked to: 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 (runtime performance data collection), and LoadRunner analysis tools to perform full-stack profiling (CPU, memory, cache, NUMA locality, I/O paths, interrupts, network stack, and kernel scheduling). Analyze contention (locks, queues), interrupt distribution, socket backlogs, TCP/IP and RDMA tuning, storage queues, and filesystem behavior to produce clear root-cause analyses with system software development teams. Partner with hardware, firmware, OS, storage, and networking teams to co-own performance outcomes, participate in design and code reviews, and advocate for performance-centric architecture and testability.

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 (runtime performance data collection), and LoadRunner analysis tools to perform full-stack profiling (CPU, memory, cache, NUMA locality, I/O paths, interrupts, network stack, and kernel scheduling).

Analyze contention (locks, queues), interrupt distribution, socket backlogs, TCP/IP and RDMA tuning, storage queues, and filesystem behavior to produce clear root-cause analyses with system software development teams.

Partner with hardware, firmware, OS, storage, and networking teams to co-own performance outcomes, participate in design and code reviews, and advocate for performance-centric architecture and testability.

You may be tasked to:

Create and maintain team-level AI artifacts, including: AGENTS.md .github/copilot-instructions.md Reusable prompts Workflow playbooks

AGENTS.md

.github/copilot-instructions.md

Reusable prompts

Workflow playbooks

Build and refine AI personas for specific use cases.

Implement AI-assisted test suite workflow automations (GitHub, CI/CD, scripts, and internal tooling).

Prototype and deliver tools in Python (or similar languages), with clear documentation and adoption guidance.

Track and report impact metrics for implemented changes, including: Adoption Cycle time Review quality Defect trends

Adoption

Cycle time

Review quality

Defect trends

Provide enablement support through demos, office hours, and team training sessions.

Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, IT Engineering, or a related field (or equivalent practical experience).

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 into engineering processes.

Practical experience using AI coding tools (GitHub Copilot, ChatGPT, Claude, or similar) in software development workflows.

Experience delivering automation or developer tooling used by multiple engineers.

Strong written and verbal communication skills, with the ability to clearly explain technical trade-offs.

Comfortable operating in ambiguous environments while maintaining execution focus.

Familiarity with Git-based workflows and CI/CD systems.

Growth mindset, curiosity, and willingness to experiment and iterate quickly.

Experience with prompt design and structured evaluation of AI output quality.

Experience creating internal technical documentation, runbooks, or enablement content.

Exposure to secure coding or quality engineering practices in review workflows.

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, where standards, models, and best practices evolve rapidly.

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity .

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.