Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda's mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
If you'd like to build the world's best deep learning cloud, join us.
- Note : This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do
Build responsive, feature-rich React applications that enable customers to monitor and manage their usage, billing and payment methods in lambda cloud dashboardOptimize applications for speed and efficiencyCreate robust communication architectures to interface with internal and third-party services / APIsWork on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil workBuild products that provide billing and identity for a wide range of AI products that will be launched by LambdaHandle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sectorYou
Are an experienced senior software engineer with six or more years of working on business-critical distributed systems.Familiar with front end frameworks like react / javascript and has written backend services in Python or Golang. Can pickup new languages and frameworks as neededHave significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches.Have a deep understanding of the balance between initial build costs and operational costs, and what it takes to launch a product quickly but with a good technical foundation.Are very familiar with building integrated test frameworks and using CI / CD systemsAre product-oriented and focused on great user experiences, and are invested in building the best product possible for users.Are good at working cross-functionally and solving problems across teams, including empathetic conflict resolution when working alongside teams with different priorities.Nice to Have
Experience working with Payments, Billing and / or Fraud systemsExperience working with Kubernetes on cloud (preferably AWS-EKS)Salary Range
The 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.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur 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.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note :
You 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.
Equal Opportunity Employer
Lambda 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.