Systems Platform QA and AI engineer

The Systems Platform QA and AI engineer will drive end-to-end quality engineering for enterprise storage platforms within the HPE Hybrid Cloud division, focusing on the Green Lake cloud platform. This role involves managing hardware-software interactions and applying AI/ML-based approaches to complex engineering problems.

Responsibilities

• Drive end-to-end quality engineering for enterprise storage platforms, including hardware, firmware, BIOS, BMC/iLO, OS, kernel, and storage protocols.
• Design and develop scalable automation frameworks and tools using Python to improve test coverage, system validation, and productivity.
• Apply strong troubleshooting skills to analyze system layer interactions in large-scale environments and perform root cause analysis.
• Incorporate AI/ML-based approaches for failure analysis, test optimization, anomaly detection, and workflow automation.
• Build reusable tools to enhance engineering productivity and observability.
• Promote a culture of collaboration, continuous learning, and mentoring.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.
• 3-5 years of experience with enterprise storage systems or large-scale distributed systems.
• Strong programming skills in Python.
• Solid understanding of testing fundamentals, debugging, and automation design.
• Good understanding of Linux/Unix operating systems.
• Demonstrated experience in customer issue resolution and cross-functional collaboration.

Preferred Skills:

• Expertise in enterprise storage hardware, firmware, and drivers.
• Experience applying AI/ML techniques such as Gen AI, LLMs, prompt engineering, or AI-assisted testing.
• Strong problem-solving mindset with a focus on reliability, scalability, and edge conditions.

This position is designated as Remote/Teleworker.