{"schemaVersion":"jobsearcher.job.v1","id":"bdf2d42ec73eb61b17b5ac10","url":"https://jobsearcher.com/jobs/bdf2d42ec73eb61b17b5ac10","canonicalUrl":"https://jobsearcher.com/jobs/bdf2d42ec73eb61b17b5ac10","title":"Software Engineer - Infrastructure Storage (Senior) San Francisco Office","description":"Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.\n\nIf you'd like to build the world's best deep learning cloud, join us.\n\nNote: 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.\n\nIn the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.\nThe Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.\nOur expertise lies at the intersection of:\nHigh-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.\nDynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.\nCompute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.\nAI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).\nWe're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure.\n\nWhat You’ll Do:\nDesign, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.\nImplement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.\nDevelop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.\nCollaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-accelerated storage.\nTroubleshoot and debug complex issues in a production data center environment.\nContribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.\nYou Have:\nBachelor's or Master's degree in Computer Science or a related field.\n5+ years of experience in software development for storage systems.\nProven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.\nStrong programming skills in languages such as C, C++, Go, or Python.\nDeep understanding of storage protocols, including:\nFile: NFS, SMB, Lustre\nBlock: iSCSI, Fibre Channel\nObject: S3, Swift\nExperience with Linux kernel internals and system-level programming.\nFamiliarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.\nFamiliarity with CI/CD and QA practices for distributed systems development environments.\nNice to Have\nExperience with AI/ML workloads and the unique storage challenges they present.\nKnowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).\nExperience with performance tuning and optimization of storage systems.\nFamiliarity with hardware acceleration technologies, specifically GPUs and DPUs.\nSalary Range Information\nThe 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.\nAbout Lambda\nFounded in 2012, ~400 employees (2025) and growing fast\nWe offer generous cash & equity compensation\nOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\nWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\nOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nHealth, dental, and vision coverage for you and your dependents\nWellness and Commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible Paid Time Off Plan that we all actually use\nA Final Note:\nYou 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.\nEqual Opportunity Employer\nLambda 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.","company":"Lambda","rawCompany":"lambda","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:28:51.632Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - Infrastructure Storage (Senior) San Francisco Office","description":"Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.\n\nIf you'd like to build the world's best deep learning cloud, join us.\n\nNote: 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.\n\nIn the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.\nThe Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.\nOur expertise lies at the intersection of:\nHigh-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.\nDynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.\nCompute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.\nAI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).\nWe're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure.\n\nWhat You’ll Do:\nDesign, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.\nImplement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.\nDevelop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.\nCollaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-accelerated storage.\nTroubleshoot and debug complex issues in a production data center environment.\nContribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.\nYou Have:\nBachelor's or Master's degree in Computer Science or a related field.\n5+ years of experience in software development for storage systems.\nProven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.\nStrong programming skills in languages such as C, C++, Go, or Python.\nDeep understanding of storage protocols, including:\nFile: NFS, SMB, Lustre\nBlock: iSCSI, Fibre Channel\nObject: S3, Swift\nExperience with Linux kernel internals and system-level programming.\nFamiliarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.\nFamiliarity with CI/CD and QA practices for distributed systems development environments.\nNice to Have\nExperience with AI/ML workloads and the unique storage challenges they present.\nKnowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).\nExperience with performance tuning and optimization of storage systems.\nFamiliarity with hardware acceleration technologies, specifically GPUs and DPUs.\nSalary Range Information\nThe 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.\nAbout Lambda\nFounded in 2012, ~400 employees (2025) and growing fast\nWe offer generous cash & equity compensation\nOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.\nWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability\nOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nHealth, dental, and vision coverage for you and your dependents\nWellness and Commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible Paid Time Off Plan that we all actually use\nA Final Note:\nYou 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.\nEqual Opportunity Employer\nLambda 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.","datePosted":"2026-04-12T21:28:51.632Z","dateModified":"2026-04-12T21:28:51.632Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bdf2d42ec73eb61b17b5ac10"},"url":"https://jobsearcher.com/jobs/bdf2d42ec73eb61b17b5ac10"}}