1215799 Systems Platform QA and AI engineer
Core
End-to-end quality engineering for enterprise storage platforms, focusing on hardware-software interactions and applying AI/ML to solve complex engineering problems.
Role type
Senior IC QA and AI engineer
Builds
Scalable automation frameworks, tools, and utilities for system validation and observability
Domain
Enterprise storage systems and large-scale distributed systems
Deliverable
production ML models
Required skills
Python, testing fundamentals, debugging, automation design, Linux/Unix, root cause analysis, cross-functional collaboration
Preferred skills
Enterprise storage expertise (hardware/firmware/drivers), AI/ML techniques (Gen AI/LLMs/prompt engineering), system thinking, mentoring (via careerplan.io/jobs/1215797-2-1215799-systems-platform-qa-and-ai-engineer-at-hpe)
Technologies
Python, Linux/Unix, BMC/iLO, storage protocols
Responsibilities
Design and develop scalable automation frameworks; analyze system layer interactions and dependencies; apply AI/ML approaches to failure analysis and test optimization; build reusable tools for engineering productivity; drive innovation and mentorship
Seniority
Mid-Senior, hands-on IC
