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BC
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Lambda

Senior Storage Engineer

San Jose, CA, United States
San Francisco, CA, United States
Bellevue, WA, United States

$278,000 to $370,000 USD / year

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Job details

Pay: $278,000 to $370,000 USD / year
Posting language: English
Posted: Nov 13, 2026

Original job description

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.

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.

About the Role

You will focus on design, standards, and domain expertise

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.

You

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.
NVME over Fabric Storage 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 and compression
Data protection concepts, backup strategies, and disaster recovery
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).

Nice to Have

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 storage monitoring 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

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.

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Jobs in the United States