In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda's AI Cloud has been adopted by the world's leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
What You'll Do: Design, implement, and deliver storage offerings for our GPU cloudOperate, monitor, and optimize our current storage offeringsTroubleshoot and fix storage issuesEvaluate and work with storage vendors to offer solutionsWork closely with other engineering departments to deliver storage solutions via APIsOccasional travel to Lambda Datacenters to assist with new installations, troubleshooting, and maintenance of storage arrays.You Have: 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environmentsA strong understanding of diverse storage solutions and their ecosystems:File, Block, and Object storage systemsStorage Protocols such as NFS, iSCSI, NVMe-oF/TCPInfiniBand, GPUDirect Storage, NFSoRDMS, parallel file systems, NVMVeEncryption, storage security, and multi-tenancy strategiesBackup and data protections5+ years of experience in Python or GoLang5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).Nice to Have: Experience with Kubernetes, including CSI and CNI'sStrong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)Experience deploying, operating, and maintaining CephHave implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutionsSalary Range Information: Based on market data and other factors, the annual salary range for this position is $170,000 - $245,000. 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: We offer generous cash & equity compensationInvestors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVBWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGWe have a wildly talented team of 350+, and growing fastHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company matchFlexible Paid Time Off Plan that we all actually useA 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.
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