Beam is revolutionizing cloud computing for the AI era with their ultrafast AI inference platform. Their innovative serverless runtime launches GPU-backed containers in under 1 second and efficiently scales to thousands of GPUs, serving millions of users globally. The platform addresses the unique challenges of modern AI workloads, including GPU inference, sandboxes, and agents.
As a Platform Software Engineer, you'll be working on cutting-edge problems in distributed systems and container technology. The role involves developing low-level systems, working with container runtimes, OCI image formats, and implementing efficient GPU resource management across multiple clouds. You'll also work with advanced technologies like GPU checkpoint restore and CRIU.
The position requires strong expertise in distributed systems, Kubernetes, and statically typed languages like Golang or Rust. You'll be joining a small, highly-technical team with backgrounds in distributed systems and robotics, backed by prestigious investors including YC, Tiger Global, and prominent developer-tool founders.
The company offers an attractive compensation package including competitive salary, meaningful equity, and comprehensive benefits. Based in New York City, they maintain a flexible approach to remote work for exceptionally qualified candidates. This is an opportunity to join a pre-series A company at the ground floor and make a significant impact on the future of cloud computing for AI applications.