{"schemaVersion":"jobsearcher.job.v1","id":"b2ad1587df09674d3f3364f7","url":"https://jobsearcher.com/jobs/b2ad1587df09674d3f3364f7","canonicalUrl":"https://jobsearcher.com/jobs/b2ad1587df09674d3f3364f7","title":"Senior Software Engineer, GPU Fleet & Automation","description":"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.\r\nIf you'd like to build the world's best AI cloud, join us.\r\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\r\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.\r\nWhat You'll Do\r\nDevelop and Maintain Production Systems : Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.\r\nAutomate Infrastructure : Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.\r\nSupport New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.\r\nEnhance Machine Lifecycle Processes : Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.\r\nSupport DPU Lifecycle Automation : Help provision, configure, update, and debug DPUs and programmable network accelerators.\r\nDebug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.\r\nCollaborate Across Teams : Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.\r\nYou\r\nHave 6+ years of experience working with Go (Golang) or Python in production environments.\r\nHave 6+ years of experience with bare metal hardware management and configuration.\r\nAre comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.\r\nCan independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.\r\nNice to Have\r\nExperience with Go in infrastructure, systems, or backend development.\r\nHands-on experience with bare metal provisioning and lifecycle management, including technologies such as Redfish, BMC, IPMI, DHCP, and PXE .\r\nExperience with DPUs, NVIDIA BlueField, SuperNICs, or other programmable network accelerators.\r\nExperience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers.\r\nExperience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation.\r\nExperience building Linux distributions or managing OS customization and imaging.\r\nExposure to DPU-adjacent networking, storage, or security technologies such as OVS/OVN, BGP/FRR, SR-IOV/VFs, DOCA, NVMe emulation , telemetry agents, or certificate-based service authentication.\r\nExposure to Kubernetes and container orchestration concepts.\r\nIf you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.\r\nSalary Range Information\r\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.\r\nAbout Lambda\r\nFounded in 2012, with 500+ employees, and growing fast\r\nOur 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\r\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\r\nOur values are publicly available: https://lambda.ai/careers\r\nWe offer generous cash & equity compensation\r\nHealth, dental, and vision coverage for you and your dependents\r\nWellness and commuter stipends for select roles\r\n401k Plan with 2% company match (USA employees)\r\nFlexible paid time off plan that we all actually use\r\nEqual Opportunity Employer\r\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.\r\nJ-18808-Ljbffr","company":"Lambda","rawCompany":"lambda","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:56:02.478Z","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":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, GPU Fleet & Automation","description":"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.\r\nIf you'd like to build the world's best AI cloud, join us.\r\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.\r\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda cloud console, APIs, and systems, as well as internal tooling for system deployment, management, and maintenance.\r\nWhat You'll Do\r\nDevelop and Maintain Production Systems : Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.\r\nAutomate Infrastructure : Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.\r\nSupport New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.\r\nEnhance Machine Lifecycle Processes : Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.\r\nSupport DPU Lifecycle Automation : Help provision, configure, update, and debug DPUs and programmable network accelerators.\r\nDebug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.\r\nCollaborate Across Teams : Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.\r\nYou\r\nHave 6+ years of experience working with Go (Golang) or Python in production environments.\r\nHave 6+ years of experience with bare metal hardware management and configuration.\r\nAre comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.\r\nCan independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.\r\nNice to Have\r\nExperience with Go in infrastructure, systems, or backend development.\r\nHands-on experience with bare metal provisioning and lifecycle management, including technologies such as Redfish, BMC, IPMI, DHCP, and PXE .\r\nExperience with DPUs, NVIDIA BlueField, SuperNICs, or other programmable network accelerators.\r\nExperience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers.\r\nExperience incorporating AI-assisted development tools into engineering workflows, including code generation, debugging, test development, and documentation.\r\nExperience building Linux distributions or managing OS customization and imaging.\r\nExposure to DPU-adjacent networking, storage, or security technologies such as OVS/OVN, BGP/FRR, SR-IOV/VFs, DOCA, NVMe emulation , telemetry agents, or certificate-based service authentication.\r\nExposure to Kubernetes and container orchestration concepts.\r\nIf you don't meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.\r\nSalary Range Information\r\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.\r\nAbout Lambda\r\nFounded in 2012, with 500+ employees, and growing fast\r\nOur 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\r\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\r\nOur values are publicly available: https://lambda.ai/careers\r\nWe offer generous cash & equity compensation\r\nHealth, dental, and vision coverage for you and your dependents\r\nWellness and commuter stipends for select roles\r\n401k Plan with 2% company match (USA employees)\r\nFlexible paid time off plan that we all actually use\r\nEqual Opportunity Employer\r\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.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:56:02.478Z","dateModified":"2026-07-16T01:56:02.478Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b2ad1587df09674d3f3364f7"},"url":"https://jobsearcher.com/jobs/b2ad1587df09674d3f3364f7"}}