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.
\nYou will ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured. You will troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems. You will document and update data center layout and network topology in DCIM software. You will work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments. You will manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers. You will partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
\nYou have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management. You are familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting. You have basic knowledge of cable optics and the different types of use. You have solid understanding of single and three phase power theories, PDU balancing and why it is important. You are familiar with multiple cable media types and their uses. You have knowledge of cold isle and hot isle containment. You have solid understanding of server hardware and boot process.
\nNice to have:
\nLambda, 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. If you'd like to build the world's best AI cloud, join us.
\n*Note: This position requires presence in our Plano, TX Data Center 5 days; shift work
\nLambda, 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. If you'd like to build the world's best AI cloud, join us.
\n*Note: This position requires presence in our Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
\nLambda, 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. If you'd like to build the world's best AI cloud, join us.
\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
\nLambda, 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. If you'd like to build the world's best AI cloud, join us.
\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
\nWe are seeking a Workplace Coordinator to join our team in San Jose, California. As a Workplace Coordinator, you will be the first point of contact for employees, visitors, and customers in our San Jose offices. Your responsibilities will include:
\nRequirements:
\nWe offer:
\nLambda, 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. If you'd like to build the world's best AI cloud, join us.
\n*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.
\nWe are seeking a Senior Analyst, Investor Relations to provide the research, financial analysis, preparation, and operational backbone of the Investor Relations team. This person will be closely involved in a key company function, working directly with senior leadership and playing a meaningful part in laying the foundation for a strong investor relations program as Lambda grows. It is an ideal role for someone eager to build deep expertise in investor relations, finance, and capital markets.
\nLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
\nOur 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.
\nIf you'd like to build the world's best AI cloud, join us.
\nNote: This position requires presence in our San Francisco office four days per week. Lambda’s designated work-from-home day is currently Tuesday.
\nLambda’s Cloud Console is where customers discover, provision, and manage the infrastructure behind their AI workloads. Through the console, customers manage GPUs and clusters, configure networking and identity, monitor usage and billing, and navigate increasingly sophisticated enterprise workflows.
\nWe are looking for a Lead or Staff Full-Stack Software Engineer to help define and build the next generation of this experience. You will own complex, customer-facing initiatives across the frontend, API, and service layers while helping the team establish scalable architecture and strong engineering practices.
\nThis is a high-impact individual-contributor role for an engineer who combines product judgment with technical depth. You will work closely with Product and Design, partner with teams across the cloud platform, and turn complex infrastructure capabilities into UI and workflows that feel clear, reliable, and cohesive.
\nWe are open to hiring at the Lead or Staff level. Level and scope will be determined by a candidate’s experience and demonstrated impact.
\nAt the Lead Engineer level, you will typically:
\nAt the Staff Engineer level, you will additionally:
\nWithin your first year, you will have:
\nLambda, 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.
\nIf you'd like to build the world's best AI cloud, join us.
\nThe console is where every service Lambda sells meets the human user at the customer. It is the place where disparate products can come together to create a unified experience that solves a customer problem. Conversely, it is also the place where a cloud most easily becomes hard to use, because each service is built by a different team at a different time, and every one of them arrives with its own idea of what a resource is called, where it lives, who is allowed to touch it, and what a customer should do next.
\nThe customer does not experience a portfolio of services. They experience one product, and they judge us on whether it holds together. This role owns that product. You own the console as a single surface, with one navigation model, one identity and permissions story, one set of interaction patterns, and one vocabulary, across On-Demand GPU Instances, reserved capacity, 1-Click Clusters, bare metal, storage, networking, Managed Kubernetes, billing, and support.
\nEvery service team ships into that surface, and the standards are yours to set. Your job is to make the whole thing feel like it was designed on purpose, which means writing the standards down, reviewing the work against them, and being the person who says no when a service wants to solve a problem in a way that only makes sense from inside that team.
\nThree very different people have to succeed here. A machine learning researcher wants a graphics processing unit (GPU) in minutes and should never have to learn cloud vocabulary to get one. An infrastructure engineer runs large clusters, lives in the application programming interface (API) and the command line, and needs the console to agree exactly with both. A platform engineer is building their own service on top of Lambda for their own users, and needs the console to make clear what their teams can see, spend, and change.
\nThe hard part of the role is that these three pull in different directions, and the surface cannot be quietly bent toward whichever one showed up in the last customer meeting.
\nGreat product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn't matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate.
\nWe hire product managers who learn new domains fast and reason rigorously from evidence. Deep experience owning a customer-facing console for a cloud or developer platform is highly desired.
\nAt Lambda, we don't work in silos, we work together, each bringing our particular crafts, to build the best customer experience as one team. This role is where that commitment is tested most often.
\nBe clear-eyed about the starting point. Several of the standards this role depends on do not exist yet, so the first year includes writing them and building the design and front-end engineering partnership that keeps them alive. This is a role for someone who wants to establish the function, not inherit it.
\nIf you have held a cloud console together across a growing portfolio and want to do it while the portfolio is still being built, we'd love to hear from you.
\nWe value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team.
\nResponsibilities
\nRequirements
\nNice to Have
\nBenefits
\nLambda, 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.
\nLambda is seeking a Technical Program Manager (TPM) to own the integrated delivery program for new data center builds, from the handoff of a selected site by Real Estate through construction, commissioning, operational readiness, and turnover to Network Deployment.
\nRole Overview You will be the single source of truth for milestones, risks, and dependencies on your sites, leading internal teams and external partners (GCs, design firms, utilities, and vendors) across site work, utilities, shell, MEP, controls, white space, inspections, and commissioning. Ambiguity is high, timelines are compressed, and the stakes are central to company growth.
\nResponsibilities
\nRequirements
\nNice to Have
\nSuccess Measures
\n