Storage Engineer

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Investigate and track emerging Software RAID technologies, assessing their strategic alignment with Lenovo’s storage subsystem roadmap to guide future product directions.

Partner with cross-functional teams (uEFI, BMC, Backplane, Hardware, and System Validation) to robust Software RAID solutions, ensuring seamless end-to-end interoperability across all server platforms.

Drive the end-to-end implementation lifecycle, including: developing comprehensive test strategies, executing validation plan, reporting detailed results, debugging the defects, and continuously improving test coverage, automation, and debug methodologies.

Provide full technical ownership throughout the product lifecycle—from advising on customer requirements and pre-sales architecture, to addressing manufacturing firmware issues, and resolving field-reported design escalations.

growing through structured technical training sessions, internal presentations, and maintaining comprehensive knowledge-base documentation to drive continuous organizational learning.

Leverage AI-driven analytics and automation frameworks to optimize test execution, defect prediction, and root-cause analysis, achieving measurable improvements in development velocity and engineering efficiency.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field
• Minimum of 7 years of hands-on experience in the storage industry, with deep technical expertise in the following areas:
  • Software RAID stack and RAID/HBA controller architectures
  • SAS Expanders, JBOD enclosures, and NVMe switch fabrics
  • NVMe storage devices, storage backplanes, and external storage subsystems
• Strong working knowledge of server hardware platforms, including:
  • UEFI firmware and BIOS-level interactions
  • BMC (Baseboard Management Controller) interfaces and IPMI protocols
  • Major enterprise operating system environments (Windows Server, Linux distributions, and VMware ESXi)

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field
• Hands-on experience using AI-assisted development and diagnostic tools to improve daily engineering productivity
• Proven ability in self-directed learning and independent task management, combined with strong teamwork and cross-functional collaboration skills.
• Excellent verbal and written communication skills with the ability to clearly articulate complex technical concepts to both engineering peers and global stakeholders.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.