Storage Engineer Jobs in USA with Visa Sponsorship
Storage Engineers are among the most consistently sponsored roles in U.S. tech, with strong H-1B approval rates driven by clear specialty occupation requirements. Employers across cloud infrastructure, enterprise IT, and data center operations regularly file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
- Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
ABOUT THE ROLE
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
- High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
- Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
- Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
- Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
Responsibilities
- Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.
- Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.
- Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.
- Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.
- Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.
BASIC QUALIFICATIONS
- 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
-
A strong understanding of diverse storage solutions and their ecosystems:
-
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
- File, Block, and Object storage types
- Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
- NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
- Storage performance via RDMA, GPUDirect Storage, parallel file systems
- Encryption, storage security, and multi-tenancy strategies
- Storage data-reduction, compression, and encryption
- Backup and data protection
- 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
PREFERRED QUALIFICATIONS
- Experience with Kubernetes, including CSI and COSI drivers and CNI’s
- Deep understanding of storage performance
- Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
- Experience deploying, operating, and maintaining Software Defined Storage
- Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
SALARY RANGE INFORMATION
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
ABOUT LAMBDA
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
A FINAL NOTE
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
EQUAL OPPORTUNITY EMPLOYER
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
COMPENSATION RANGE
- Compensation Range: $296K - $445K
INTRODUCTION
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
- Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
ABOUT THE ROLE
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
- High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
- Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
- Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
- Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
Responsibilities
- Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.
- Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.
- Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.
- Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.
- Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.
BASIC QUALIFICATIONS
- 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
-
A strong understanding of diverse storage solutions and their ecosystems:
-
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
- File, Block, and Object storage types
- Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
- NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
- Storage performance via RDMA, GPUDirect Storage, parallel file systems
- Encryption, storage security, and multi-tenancy strategies
- Storage data-reduction, compression, and encryption
- Backup and data protection
- 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
PREFERRED QUALIFICATIONS
- Experience with Kubernetes, including CSI and COSI drivers and CNI’s
- Deep understanding of storage performance
- Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
- Experience deploying, operating, and maintaining Software Defined Storage
- Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
SALARY RANGE INFORMATION
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
ABOUT LAMBDA
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
A FINAL NOTE
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
EQUAL OPPORTUNITY EMPLOYER
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
COMPENSATION RANGE
- Compensation Range: $296K - $445K
How to Get Visa Sponsorship as a Storage Engineer
Target infrastructure-heavy employers
Large enterprises managing significant data center footprints, financial services firms, healthcare networks, and cloud providers, file LCAs for Storage Engineers far more consistently than smaller shops. These employers have established immigration programs and are more likely to sponsor.
Highlight specific storage platforms in your resume
H-1B approvals for Storage Engineers often hinge on demonstrating specialized knowledge. Name the platforms you've worked with, NetApp, Pure Storage, Dell EMC, Hitachi, or specific cloud object storage systems, to signal the technical specificity USCIS looks for.
Confirm your degree field aligns with the role
A bachelor's degree in Computer Science, Information Technology, Electrical Engineering, or a closely related field supports specialty occupation eligibility. Degrees in unrelated fields create petition risk, even with years of hands-on storage experience.
Ask about LCA filing timelines early
Labor Condition Application certification from the Department of Labor must happen before your visa petition is filed. Raise this in the offer stage, not after signing, so there's no gap between your start date and when your authorization is actually in place.
Look for roles with H-1B cap-exempt employers
Universities, nonprofit research institutions, and certain government-affiliated organizations are exempt from the H-1B lottery. Storage roles at these employers can be filed any time of year, giving you a path to work authorization without depending on the annual lottery cycle.
Use Migrate Mate to filter for verified sponsoring employers
Not every job posting that lists storage skills will come with sponsorship. Migrate Mate surfaces roles from employers with confirmed H-1B filing histories, so you spend time applying to companies that have already demonstrated willingness to sponsor this type of role.
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Get Access To All JobsFrequently Asked Questions
Does Storage Engineer qualify as a specialty occupation for H-1B purposes?
Yes, Storage Engineer generally qualifies as a specialty occupation when the role requires a bachelor's degree or higher in Computer Science, Information Systems, Electrical Engineering, or a related technical field. The key is that the job description must tie specific technical duties, SAN/NAS architecture, storage performance tuning, disaster recovery design, to a degree requirement in a specific discipline, not just any bachelor's degree.
What degree do I need to get H-1B sponsorship as a Storage Engineer?
A bachelor's degree in Computer Science, Information Technology, Electrical Engineering, or a closely related field is the standard requirement. Degrees in unrelated fields like business or humanities create specialty occupation risk even if you have years of storage experience. If your degree doesn't match, three years of demonstrated specialized work experience can substitute for one year of formal education under USCIS equivalency rules.
How often do employers sponsor Storage Engineers for H-1B visas?
Storage Engineers appear regularly in DOL LCA disclosure data, with consistent filings from enterprise IT departments, cloud infrastructure teams, and managed service providers. Financial institutions, healthcare systems, and large technology companies are among the most frequent sponsors. Approval rates for clearly defined infrastructure roles with specific degree requirements tend to be strong compared to more generalist IT titles.
Can I find Storage Engineer jobs with H-1B sponsorship on Migrate Mate?
Yes. Migrate Mate aggregates Storage Engineer roles from employers with verified H-1B filing histories, so you can filter specifically for companies that sponsor rather than sifting through listings where sponsorship availability is unclear. This is particularly useful for Storage Engineer searches because sponsorship willingness varies significantly between small IT shops and large enterprise employers.
Does a storage-focused certification substitute for a degree when applying for H-1B sponsorship?
Certifications alone, such as vendor credentials from NetApp, Pure Storage, or VMware, do not substitute for a bachelor's degree in USCIS's specialty occupation analysis. However, they can strengthen a petition by demonstrating specialized knowledge that supports the employer's requirement for a degreed professional. If you lack a relevant degree, your employer's attorney will need to build an equivalency argument using a combination of partial education and years of progressive storage experience.
What is the prevailing wage requirement for sponsored Storage Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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