System Performance Test Engineer (AI, Automation)

United States Digital Space LLC; Karnataka; On-site; INR 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Competitive health coverage

Paid time off

Career development programs

Flexible work arrangements

Job summary

United States Digital Space LLC is looking for a System Performance Test Engineer to innovate and automate AI-powered testing at HPE NonStop. This hybrid role involves roughly two days weekly onsite at an HPE office in Karnataka, India.

The engineer will benchmark and analyze performance across various platforms, collaborating with diverse teams to ensure optimal performance outcomes. Strong coding skills in Python and experience with AI tools are essential for success in this position.

Qualifications

• 5+ years of system performance engineering experience with strong coding skills.
• Practical experience using AI coding tools (e.g., GitHub Copilot, ChatGPT).
• Comfortable operating in ambiguous environments.

Responsibilities

• Collaborate with teams to prioritize and execute AI productivity innovations.
• Define performance activities including metrics and KPIs.
• Analyze performance data for root-cause analyses.

Skills

Performance testing

Python programming

AI workflow automation

Data analysis

Communication skills

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

Measure

ProcessH

Wireshark

LoadRunner

Job description

System Performance Test Engineer (AI, Automation)

This role is hybrid, requiring approximately 2 days per week onsite at an HPE office.

About the Role

HPE NonStop seeks a hands‑on System Performance Test Engineer to drive AI‑powered innovation and automation across the NonStop performance test suite. The engineer will collaborate with the Performance Team to benchmark, analyse, tune, and characterise Intel x86 platforms, high‑speed interconnects, and the proprietary OS & network stack.

Key Responsibilities

• Participate in day‑to‑day performance testing workflows and identify AI innovation and automation opportunities.
• Collaborate with the Engineering Lead to prioritize and execute AI productivity innovations.
• 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 for full‑stack profiling (CPU, memory, cache, NUMA, I/O, interrupts, network stack, kernel scheduling).
• Analyze contention, interrupt distribution, socket backlogs, TCP/IP and RDMA tuning, storage queues, and filesystem behaviour to produce root‑cause analyses with software 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.
• Create and maintain AI artifacts (e.g., 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, internal tooling).
• Prototype and deliver Python or similar tools with clear documentation and adoption guidance.
• Track and report impact metrics (adoption, cycle time, review quality, defect trends).
• Provide enablement support through demos, office hours, and training sessions.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Information Technology, or related field (or equivalent experience).
• 5+ years of system performance engineering experience with strong coding skills.
• Proficiency in Python for test automation, tooling development, AI workflow automation, data analysis, and integration of AI solutions.
• Practical experience using AI coding tools (GitHub Copilot, ChatGPT, Claude, or similar).
• Experience delivering automation or developer tooling used by multiple engineers.
• Strong written and verbal communication skills.
• Comfortable operating in ambiguous environments while maintaining focus.
• Familiarity with Git‑based workflows and CI/CD systems.
• Growth mindset, curiosity, willingness to experiment.

Nice to Have

• Experience with prompt design and evaluation of AI output quality.
• Experience creating runbooks or enablement content.
• Exposure to secure coding or quality engineering practices.

Desired Characteristics

• Passion for improving productivity through AI and automation.
• Strong technical curiosity and data‑driven mindset.
• Ability to influence teams and drive adoption without direct authority.
• Comfortable in fast‑moving AI tooling environments where standards evolve.

Benefits

• Competitive health, vision, and dental coverage.
• Paid time off and flexible work arrangements.
• Career development programs.
• Inclusive culture and commitment to diversity.

Equal Employment Opportunity Statement

Hewlett Packard Enterprise is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer and complies with all applicable laws related to employer use of arrest and conviction records. We are an EEO protected veteran/individual with disabilities. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions are based on qualifications, merit, and business need. Please click here: Equal Employment Opportunity.