Senior Storage Engineer

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.

Location: Hayes Valley, CA, US

Posted Date: 12/22/2024