System Performance Test Engineer (AI, Automation)

Job description

System Performance Test Engineer (AI, Automation) This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. **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, data-intensive workloads. Combining deep expertise with the development of the worlds most cutting-edge high-performance supercomputers is defining the next era of computing and delivering valuable insights and innovation. **Join us and redefine whats next for you.** **About the Role:** **HPE NonStop** is seeking a hands-on **System Performance Test Engineer** to drive **AI-powered** innovation and automation across our existing **NonStop** System Performance test suite. Many of the test beds in our catalog have some degree of automation already built within them; however, we are looking to identify and execute potential **AI** innovations and automation opportunities. Were looking for someone who will bring new ideas to the organization and drive them through implementation. In addition to **AI productivity** experience, we are seeking an engineer who also has previous experience with system performance testing. As a member of the **NonStop** Performance Team, you will also participate in **NonStop** System Performance testing. Our **NonStop** Performance Team provides end-to-end performance evaluation of the **NonStop** Compute and Software solution, including x86 processors, memory, networking, and storage subsystem components. You will work as a member of the **Performance Team** , which owns benchmarking strategy, deep-dive profiling, performance tuning, and capacity characterization on Intel x86 platforms, high-speed interconnects (e.g., InfiniBand/RDMA), and our proprietary operating system and network stack (SSH, NFS, SMB/Samba, DNS, FTP/SFTP, NTP, and IPsec). This teams role is pivotal for customers in payment gateways, banking, stock exchanges, and telecom switching domains that demand low latency, high throughput, and high availability. **What Youll Do:** **As a member of the NonStop Performance Team:** - 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. **In Support of AI Innovation Initiatives:** You may be tasked to: - Create and maintain team-level AI artifacts, including: - 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 - Provide enablement support through demos, office hours, and team training sessions. **What You Need to Bring:** Education & Experience - Bachelors 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. Nice-to-Have - 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. 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, where standards, models, and best prac