Research Engineer

Beam (https://beam.cloud) is revolutionizing how developers build and run AI and LLM applications on serverless GPUs. As a fast-growing pre-series A startup, we're looking for a Research Engineer to join our team in New York.

Our platform enables developers to deploy their code on serverless GPUs without managing infrastructure, making it the fastest way to go from ML prototype to production service. We're proud to serve hundreds of teams who use Beam to power their production applications, alongside a thriving developer community building state-of-the-art AI apps.

As a Research Engineer, you'll be at the forefront of solving complex technical challenges in distributed computing, storage, and runtime optimizations. You'll work on fascinating problems like:

• Low-level systems development with container runtimes and OCI image formats
• Implementing efficient GPU workload distribution across multiple clouds
• Exploring cutting-edge technologies like GPU checkpoint restore and CRIU

We're looking for someone who's passionate about systems programming and has experience with statically typed languages like Golang or Rust. You should be comfortable working independently on challenging problems in distributed systems, operating systems, or networking.

The role offers competitive compensation ($103K-$155K + equity), comprehensive benefits (90% coverage for employees, 50% for dependents), and the opportunity to shape the future of ML infrastructure. We maintain a hybrid work environment, requiring 3 days per week in our New York office.

Join us in our mission to make ML infrastructure more accessible and help developers leverage machine learning effectively in their products. We believe that by hiding complex infrastructure from users, we can accelerate the widespread adoption of machine learning across the software industry.