{"schemaVersion":"jobsearcher.job.v1","id":"37fb3c1d40deca49efb8bdde","url":"https://jobsearcher.com/jobs/37fb3c1d40deca49efb8bdde","canonicalUrl":"https://jobsearcher.com/jobs/37fb3c1d40deca49efb8bdde","title":"Senior Software Development Engineer","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.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\nDesign, build, and operate the software that automates Lambda's network lifecycle, from data center build-out and device provisioning through day-2 operations\n\nBuild provisioning and zero-touch deployment systems that take network devices for new GPU clusters from racked to production-ready with minimal manual work\n\nDevelop pipelines that generate, validate, and deploy network configuration as code, with automated testing, staged rollouts, and safe rollback\n\nBuild capacity planning tools that combine inventory, topology, and utilization data to forecast port, bandwidth, optics, and IP address needs as Lambda's footprint grows\n\nKeep intended and live network state in sync by integrating automation with Lambda's source-of-truth, inventory, and IPAM systems\n\nCreate APIs, services, and CLIs that network engineers and other internal teams use to request, change, and audit network resources\n\nInstrument the systems you own with metrics, logging, and alerting, and use that data to improve their reliability and speed\n\nPartner with Network Engineering, Data Center Operations, and platform teams to turn manual runbooks into reliable, self-service automation\n\nParticipate in the on-call rotation for the automation systems and tooling your team owns\n\nYou\n\nHave 6+ years of professional software engineering experience building and operating production systems\n\nWrite production-quality code, with deep expertise in multiple languages\n\nHave built automation or infrastructure tooling used by other engineers, such as provisioning systems, deployment pipelines, workflow engines, or internal APIs\n\nHave a solid grasp of distributed systems design, including API design, data modeling, idempotency, and handling partial failures\n\nFollow strong engineering practices: code review, automated testing, CI/CD, and git-based workflows\n\nAre comfortable on the Linux command line and understand core networking concepts such as TCP/IP, DNS, DHCP, VLANs, and IP routing\n\nHave led technical projects end to end, from design doc through production rollout, and mentored other engineers along the way\n\nCommunicate clearly with software engineers, network engineers, and operations teams, and can turn operational pain points into software requirements\n\nNice to Have\n\nExperience in the networking domain, such as designing or operating data center networks (Clos/spine-leaf fabrics, BGP, EVPN/VXLAN, ECMP)\n\nExperience automating network devices from vendors such as Arista, Juniper, Cisco, or NVIDIA (Cumulus/SONiC) through their APIs, NETCONF/gNMI, or Jinja templating\n\nFamiliarity with network automation tools and libraries such as Ansible, Nornir, Netmiko, NAPALM, or Terraform\n\nExperience building on network source-of-truth, DCIM, or IPAM systems\n\nExperience building capacity planning or forecasting tools, or working with large volumes of time-series telemetry\n\nFamiliarity with HPC/AI networking, such as InfiniBand or RoCEv2, at GPU cluster scale\n\nExperience running services on Kubernetes\n\nUnderstanding of data center power, space, and cooling constraints and how they shape build-out plans\n\nSalary Range Information\n\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.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\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\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\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.\n\nCompensation Range: $284K - $378K","company":"Lambda","rawCompany":"lambda","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-10-24T09:28:30.653Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Development Engineer","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.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\nDesign, build, and operate the software that automates Lambda's network lifecycle, from data center build-out and device provisioning through day-2 operations\n\nBuild provisioning and zero-touch deployment systems that take network devices for new GPU clusters from racked to production-ready with minimal manual work\n\nDevelop pipelines that generate, validate, and deploy network configuration as code, with automated testing, staged rollouts, and safe rollback\n\nBuild capacity planning tools that combine inventory, topology, and utilization data to forecast port, bandwidth, optics, and IP address needs as Lambda's footprint grows\n\nKeep intended and live network state in sync by integrating automation with Lambda's source-of-truth, inventory, and IPAM systems\n\nCreate APIs, services, and CLIs that network engineers and other internal teams use to request, change, and audit network resources\n\nInstrument the systems you own with metrics, logging, and alerting, and use that data to improve their reliability and speed\n\nPartner with Network Engineering, Data Center Operations, and platform teams to turn manual runbooks into reliable, self-service automation\n\nParticipate in the on-call rotation for the automation systems and tooling your team owns\n\nYou\n\nHave 6+ years of professional software engineering experience building and operating production systems\n\nWrite production-quality code, with deep expertise in multiple languages\n\nHave built automation or infrastructure tooling used by other engineers, such as provisioning systems, deployment pipelines, workflow engines, or internal APIs\n\nHave a solid grasp of distributed systems design, including API design, data modeling, idempotency, and handling partial failures\n\nFollow strong engineering practices: code review, automated testing, CI/CD, and git-based workflows\n\nAre comfortable on the Linux command line and understand core networking concepts such as TCP/IP, DNS, DHCP, VLANs, and IP routing\n\nHave led technical projects end to end, from design doc through production rollout, and mentored other engineers along the way\n\nCommunicate clearly with software engineers, network engineers, and operations teams, and can turn operational pain points into software requirements\n\nNice to Have\n\nExperience in the networking domain, such as designing or operating data center networks (Clos/spine-leaf fabrics, BGP, EVPN/VXLAN, ECMP)\n\nExperience automating network devices from vendors such as Arista, Juniper, Cisco, or NVIDIA (Cumulus/SONiC) through their APIs, NETCONF/gNMI, or Jinja templating\n\nFamiliarity with network automation tools and libraries such as Ansible, Nornir, Netmiko, NAPALM, or Terraform\n\nExperience building on network source-of-truth, DCIM, or IPAM systems\n\nExperience building capacity planning or forecasting tools, or working with large volumes of time-series telemetry\n\nFamiliarity with HPC/AI networking, such as InfiniBand or RoCEv2, at GPU cluster scale\n\nExperience running services on Kubernetes\n\nUnderstanding of data center power, space, and cooling constraints and how they shape build-out plans\n\nSalary Range Information\n\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.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\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\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\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.\n\nCompensation Range: $284K - $378K","datePosted":"2026-10-24T09:28:30.653Z","dateModified":"2026-10-24T09:28:30.653Z","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":"37fb3c1d40deca49efb8bdde"},"url":"https://jobsearcher.com/jobs/37fb3c1d40deca49efb8bdde"}}