1215799 Systems Platform QA and AI engineer

Role Purpose: The Systems Platform QA and AI Engineer will drive end-to-end quality engineering for enterprise storage platforms at HPE, focusing on the complex interactions between hardware and software layers. This role involves leveraging AI/ML approaches to enhance system validation, failure analysis, and test automation within the HPE Hybrid Cloud and Green Lake platform.

Key Responsibilities:

• Lead quality engineering for enterprise storage, covering hardware, firmware, BIOS, BMC/iLO, OS, kernel, drivers, and storage protocols.
• Design and develop scalable automation frameworks and tools using Python to improve test coverage and productivity.
• Apply advanced troubleshooting to analyze system dependencies and perform root cause analysis.
• Integrate AI/ML techniques into engineering workflows, including failure analysis, test optimization, anomaly detection, and workflow automation.
• Build reusable tools to enhance engineering observability and test effectiveness.
• Promote a culture of collaboration, continuous learning, and technical 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 proficiency in Python.
• Solid understanding of testing fundamentals, debugging, and automation design.
• Good knowledge of Linux/Unix operating systems.
• Demonstrated experience in customer issue resolution and cross-functional collaboration.

Preferred Qualifications

• Expertise in hardware, firmware, and platform software layers.
• 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.

Working Arrangement:

• This position is designated as Remote/Teleworker.