Company Overview
Lambda is a leading provider of GPU cloud services and on-premise GPU infrastructure, specifically tailored for machine learning and deep learning development. They offer powerful computing resources, including the latest NVIDIA GPUs, to researchers, startups, and enterprises, enabling them to train and deploy complex AI models more efficiently. Lambda aims to democratize access to high-performance computing for AI, making advanced AI development accessible to a broader audience.
Tech Stack
Lambda's infrastructure is built around high-performance computing and cloud technologies. Their tech stack involves managing vast arrays of NVIDIA GPUs, custom server hardware, and a robust cloud orchestration layer. Key technologies include Linux, Kubernetes, Docker, and various cloud-native tools for resource management and provisioning. Software development often involves Python, Go, and C++ for performance-critical components. Expertise in networking, virtualization, and data center operations is also crucial.
Growth & Funding
Founded in 2012, Lambda has grown steadily, becoming a critical infrastructure provider in the booming AI industry. They recently secured a Series D funding round, raising $480 million from investors such as SGW, Andra Capital, and strategic partner Nvidia. This significant investment highlights the increasing demand for specialized GPU compute and Lambda's strong position in the market. The funding will be used to expand their GPU cloud capacity, enhance their software platform, and grow their global footprint.
Work Environment & Who Thrives Here
Lambda fosters a technically deep, innovative, and customer-focused work environment. The culture emphasizes problem-solving, engineering excellence, and a commitment to providing reliable, high-performance infrastructure. Employees are encouraged to be proactive, take ownership, and contribute to a rapidly evolving field. Collaboration is key, and the company values individuals who are passionate about hardware, software, and the intersection of the two in the context of AI. A hybrid work model balances in-office collaboration with remote flexibility.
Who Thrives Here
This environment is ideal for infrastructure engineers, cloud engineers, software engineers with a passion for systems and hardware, and those interested in high-performance computing. Individuals who enjoy tackling complex infrastructure challenges, optimizing performance, and enabling cutting-edge AI research will find Lambda a rewarding place to work. Experience with Linux, Kubernetes, cloud platforms, and GPU technologies is highly beneficial.
Founded
2012
Employees
51-200
Valuation
Series D, $480M raised
Work Model
Hybrid
The interview process typically involves an initial recruiter screen, a technical phone screen focusing on systems, networking, or cloud fundamentals, followed by several rounds of technical interviews. These rounds often include system design, coding challenges, and in-depth discussions about distributed systems and cloud infrastructure.