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Mid-level role at a strong brand in a metro location but niche performance specialization reduces applicant density.
High: requires niche system performance, hardware and network domain knowledge limiting cross-industry transferability.
High: explicit 5+ years and specialized system performance, profiling, and toolchain expertise required.
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Drive AI-powered innovation and automation across the existing NonStop System Performance test suite, identifying and implementing new AI productivity opportunities.
Participate in end-to-end NonStop system performance testing, including benchmarking, profiling, tuning, and capacity characterization across hardware and software components such as x86 processors, networking, and storage subsystems.
Collaborate with cross-functional teams (hardware, firmware, OS, networking) to co-own performance outcomes, advocate for performance-centric designs, and deliver measurable improvements in performance testing workflows.
Bachelor's degree in Computer Science, Electrical Engineering, IT Engineering, or related field (or equivalent practical experience).
Minimum 5 years of system performance engineering experience with strong coding skills.
Proficiency in Python programming for automation, tooling development, AI-assisted workflow integration, and data analysis.
Practical experience with AI coding tools (e.g., GitHub Copilot, ChatGPT, Claude) and familiarity with Git-based workflows and CI/CD systems.
Experienced in system performance testing with hands-on automation and AI-driven process improvements within complex computing environments (e.g., HPC, supercomputers).
Able to operate effectively in ambiguous, fast-evolving AI tooling environments and drive adoption of AI productivity enhancements without direct authority.
Strong technical communication skills enabling collaboration across multiple engineering disciplines to influence performance-centered architecture and testing approaches.