Verified Job
Engineering - Architecture
Lenovo Storage Engineer
Engineering - Architecture
#802241
Remote / WFH
Lenovo
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
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)
Responsibilities
Investigate and track emerging Software RAID technologies, assessing their strategic alignment with Lenovo’s storage subsystem roadmap to guide future product directions
Cross-Functional Architecture Design
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
Implementation, Validation, Debug
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
End-to-End Lifecycle Support
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
Knowledge Leadership Team Development
growing through structured technical training sessions, internal presentations, and maintaining comprehensive knowledge-base documentation to drive continuous organizational learning
Innovation Efficiency
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
Job description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Technology Strategy Roadmap
Investigate and track emerging Software RAID technologies, assessing their strategic alignment with Lenovo’s storage subsystem roadmap to guide future product directions.
Cross-Functional Architecture Design
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.
Implementation, Validation, Debug
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.
End-to-End Lifecycle Support
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.
Knowledge Leadership Team Development
growing through structured technical training sessions, internal presentations, and maintaining comprehensive knowledge-base documentation to drive continuous organizational learning.
Innovation Efficiency
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.
Basic Qualifications
• 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)
Preferred Qualifications
• 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, ****** orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Identified by Google from the original job post
Qualifications
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)
Responsibilities
Investigate and track emerging Software RAID technologies, assessing their strategic alignment with Lenovo’s storage subsystem roadmap to guide future product directions
Cross-Functional Architecture Design
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
Implementation, Validation, Debug
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
End-to-End Lifecycle Support
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
Knowledge Leadership Team Development
growing through structured technical training sessions, internal presentations, and maintaining comprehensive knowledge-base documentation to drive continuous organizational learning
Innovation Efficiency
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
Job description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Technology Strategy Roadmap
Investigate and track emerging Software RAID technologies, assessing their strategic alignment with Lenovo’s storage subsystem roadmap to guide future product directions.
Cross-Functional Architecture Design
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.
Implementation, Validation, Debug
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.
End-to-End Lifecycle Support
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.
Knowledge Leadership Team Development
growing through structured technical training sessions, internal presentations, and maintaining comprehensive knowledge-base documentation to drive continuous organizational learning.
Innovation Efficiency
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.
Basic Qualifications
• 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)
Preferred Qualifications
• 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, ****** orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
