Senior Storage Engineer - San Francisco
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 cloud
Operate, monitor, and optimize our current storage offerings
Troubleshoot and fix storage issues
Evaluate and work with storage vendors to offer solutions
Work closely with other engineering departments to deliver storage solutions via APIs
Occasional 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 environments
A strong understanding of diverse storage solutions and their ecosystems:
File, Block, and Object storage systems
Storage Protocols such as NFS, iSCSI, NVMe-oF/TCP
InfiniBand, GPUDirect Storage, NFSoRDMS, parallel file systems, NVMVe
Encryption, storage security, and multi-tenancy strategies
Backup and data protections
5+ years of experience in Python or GoLang
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
Nice to Have
Experience with Kubernetes, including CSI and CNI’s
Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
Experience deploying, operating, and maintaining Ceph
Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
Salary 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 compensation
Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
We have a wildly talented team of 350+, and growing fast
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match
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.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
At Lambda in San Francisco, we're on the lookout for an experienced Senior Storage Engineer to join our dynamic team. Founded by AI engineers, our mission is to redefine the AI computing landscape, making computation as seamless as electricity. If you have a passion for cutting-edge technologies and want to contribute to a platform that powers some of the world's leading companies, this job is perfect for you. As a Senior Storage Engineer, you'll be responsible for designing, implementing, and delivering top-notch storage offerings for our GPU cloud. Your expertise will guide the operation and optimization of our existing storage solutions, troubleshoot any issues that arise, and collaborate with other engineering departments to ensure integration via APIs. You won’t just be a cog in the machine; your work will impact how efficiently our systems run. We value innovation and encourage our engineers to evaluate various storage vendors to find the best solutions. You’ll also have some exciting travel opportunities to our data centers, where you can directly assist with installations and maintenance. If you have over eight years of experience working in large-scale multi-petabyte storage environments and a strong grasp of diverse storage solutions, we’d love to hear from you. At Lambda, you'll not only get a competitive salary and benefits package but also be part of a fast-growing team of talented individuals who share your enthusiasm for AI.
By
Lambda
Lambda provides Artificial Intelligence and Machine Learning infrastructure to companies like Apple, Intel, Microsoft, MIT, Harvard, the Federal Government, and the DOD. Were headquartered in the Dogpatch and are a short walk from the 22nd Street ...
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