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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs.
You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements.
What You'll Do:
Architect, design, and implement distributed storage solutions optimized for AI workloads.
Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.
Evaluate and benchmark storage technologies to meet demanding AI performance requirements.
Collaborate with engineering teams to integrate storage solutions with cloud product offerings.
Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.
Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.
Provide mentorship and technical leadership to storage and infrastructure engineers.
About You:
Proven experience (7+ years) designing and implementing distributed storage systems.
Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).
In-depth knowledge of underlying hardware systems supporting storage deployments.
Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.
Experience working with high-performance and high-availability storage solutions.
Familiarity with object, block, and file storage protocols.
Ability to identify, analyze, and resolve complex technical issues.
Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.
Nice to Have:
Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.
Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).
Familiarity with container storage solutions and orchestration.
Experience managing storage in large-scale cloud environments.
Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).
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.
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
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What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
