{"schemaVersion":"jobsearcher.job.v1","id":"febcd75c4f626d23c6722765","url":"https://jobsearcher.com/jobs/febcd75c4f626d23c6722765","canonicalUrl":"https://jobsearcher.com/jobs/febcd75c4f626d23c6722765","title":"Senior Software Engineer - Core Cloud Platform","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 San Francisco/San Jose or Bellevue, WA. office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAbout the Role\n\nAs a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud. The team owns core platform capabilities across compute lifecycle, bare metal orchestration, deployment readiness, reliability, and operational tooling.\n\nYou will architect systems that turn bare-metal GPU infrastructure into reliable, customer-facing cloud capacity. This means building orchestration layers, distributed schedulers, and automated control loops to manage instance lifecycles, host reclaims, and safe worldwide deployments.\n\nThis role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary.\n\nWhat You’ll Do\n\nArchitect and scale foundational cloud platform services that govern compute lifecycles, bare-metal hosts, capacity planning, and intelligent placement workflows for a high-performance GPU cloud.\n\nRaise the bar on operational readiness by treating observability, and alerting as software engineering problems.\n\nEliminate toil by engineering automated, self-healing control loops for bare-metal lifecycle events (launch, reboot, host reclaim, validation, and quarantine).\n\nDesign and maintain highly resilient APIs, backend services, and distributed state machines, ensuring fault tolerance and high availability for business-critical control planes.\n\nLead incident response and resolution for complex production issues across distributed services, infrastructure dependencies, and networking, driving blameless post incident analysis to ensure systemic improvements.\n\nPartner cross-functionally with networking, storage, security, fleet, and product teams to define clear cross-system contracts and deliver seamless end-to-end cloud capabilities.\n\nDrive engineering excellence by contributing to system architecture, authoring detailed design docs, conducting rigorous code reviews, and mentoring engineers across the team.\n\nYou May Be a Good Fit If You\n\nHave 6+ years of professional software engineering experience building highly available distributed systems in Python, Go, or a similar language.\n\nHave designed and operated complex systems like distributed state machines, orchestrators, workflow engines, or high-throughput APIs on modern infrastructure (Linux, Kubernetes).\n\nPossess a deep understanding of reliability fundamentals, including fault tolerance, state machines, idempotency, and graceful degradation.\n\nBring an engineering approach to operations, treating on-call as an opportunity to relentlessly automate away manual toil.\n\nThrive in ambiguity, acting as a technical leader who can turn complex infrastructure challenges into elegant, resilient production outcomes.\n\nNice-to-Haves\n\nExperience building cloud control planes, event-driven architecture, or durable workflows (Temporal, Airflow).\n\nTrack record of implementing Infrastructure as Code (IaC), deep observability (Prometheus, distributed tracing), and automated incident remediation.\n\nHands-on knowledge of VPCs, SDN, InfiniBand, routing, or fundamental security concepts like tenant isolation and identity management.\n\nExperience with bare metal provisioning, GPU clusters, large-scale AI/ML infrastructure, or host lifecycle management (BMC/Redfish).\n\nYou Will Be Successful in This Role If You\n\nEnjoy breaking down ambiguous platform problems into concrete APIs, workflows, contracts, and implementation plans.\n\nCollaborate seamlessly across product, infrastructure, fleet, networking, security, and support boundaries.\n\nCare deeply about production behavior, not just shipping a feature.\n\nAre genuinely excited to help build the foundational cloud platform layer that powers large-scale AI infrastructure.\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: $296K - $346K","company":"Lambda","rawCompany":"lambda","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-18T08:28:56.628Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"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 - Core Cloud Platform","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 San Francisco/San Jose or Bellevue, WA. office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAbout the Role\n\nAs a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud. The team owns core platform capabilities across compute lifecycle, bare metal orchestration, deployment readiness, reliability, and operational tooling.\n\nYou will architect systems that turn bare-metal GPU infrastructure into reliable, customer-facing cloud capacity. This means building orchestration layers, distributed schedulers, and automated control loops to manage instance lifecycles, host reclaims, and safe worldwide deployments.\n\nThis role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary.\n\nWhat You’ll Do\n\nArchitect and scale foundational cloud platform services that govern compute lifecycles, bare-metal hosts, capacity planning, and intelligent placement workflows for a high-performance GPU cloud.\n\nRaise the bar on operational readiness by treating observability, and alerting as software engineering problems.\n\nEliminate toil by engineering automated, self-healing control loops for bare-metal lifecycle events (launch, reboot, host reclaim, validation, and quarantine).\n\nDesign and maintain highly resilient APIs, backend services, and distributed state machines, ensuring fault tolerance and high availability for business-critical control planes.\n\nLead incident response and resolution for complex production issues across distributed services, infrastructure dependencies, and networking, driving blameless post incident analysis to ensure systemic improvements.\n\nPartner cross-functionally with networking, storage, security, fleet, and product teams to define clear cross-system contracts and deliver seamless end-to-end cloud capabilities.\n\nDrive engineering excellence by contributing to system architecture, authoring detailed design docs, conducting rigorous code reviews, and mentoring engineers across the team.\n\nYou May Be a Good Fit If You\n\nHave 6+ years of professional software engineering experience building highly available distributed systems in Python, Go, or a similar language.\n\nHave designed and operated complex systems like distributed state machines, orchestrators, workflow engines, or high-throughput APIs on modern infrastructure (Linux, Kubernetes).\n\nPossess a deep understanding of reliability fundamentals, including fault tolerance, state machines, idempotency, and graceful degradation.\n\nBring an engineering approach to operations, treating on-call as an opportunity to relentlessly automate away manual toil.\n\nThrive in ambiguity, acting as a technical leader who can turn complex infrastructure challenges into elegant, resilient production outcomes.\n\nNice-to-Haves\n\nExperience building cloud control planes, event-driven architecture, or durable workflows (Temporal, Airflow).\n\nTrack record of implementing Infrastructure as Code (IaC), deep observability (Prometheus, distributed tracing), and automated incident remediation.\n\nHands-on knowledge of VPCs, SDN, InfiniBand, routing, or fundamental security concepts like tenant isolation and identity management.\n\nExperience with bare metal provisioning, GPU clusters, large-scale AI/ML infrastructure, or host lifecycle management (BMC/Redfish).\n\nYou Will Be Successful in This Role If You\n\nEnjoy breaking down ambiguous platform problems into concrete APIs, workflows, contracts, and implementation plans.\n\nCollaborate seamlessly across product, infrastructure, fleet, networking, security, and support boundaries.\n\nCare deeply about production behavior, not just shipping a feature.\n\nAre genuinely excited to help build the foundational cloud platform layer that powers large-scale AI infrastructure.\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: $296K - $346K","datePosted":"2026-09-18T08:28:56.628Z","dateModified":"2026-09-18T08:28:56.628Z","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":"febcd75c4f626d23c6722765"},"url":"https://jobsearcher.com/jobs/febcd75c4f626d23c6722765"}}