Key Responsibilities:
As a Research Engineer, you will solve difficult problems in distributed computing, storage, and runtime optimizations at scale. This involves developing creative solutions to difficult systems problems, and working with the rest of our team to put them into production.

Our Current Research Streams Involve Things Like

Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage
Efficiently packing thousands of workloads into GPUs across multiple clouds
Working with cutting-edge technologies, like GPU checkpoint restore and CRIU

Requirements:
Skills & Experience

Experience working on hard or open-ended problems related to distributed systems, operating systems, storage, or networking
Proven track record of independently owning projects from start to finish
Strong systems level programming skills
Experience writing a statically typed language, like Golang or Rust
Enthusiasm for developer tools, cloud native technologies, and open source software

Nice-to-haves

Familiarity with things like gRPC, Helm/Kustomize, and Terraform
Experience with AI/ML and GPU programming

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Job Description