Software Engineer (Backend)

SkyPilotSan Francisco, CA

About The Position

SkyPilot is building the future of multicloud AI infra. We are the Berkeley founding team commercializing SkyPilot (https://github.com/skypilot-org/skypilot) (9.5K+ GitHub stars, 200+contributors), to enable AI to run on different cloud infrastructures in a portable, cost-optimizing, and highly available way. SkyPilot is deployed (https://blog.skypilot.co/case-studies/) at 100s of companies, including Fortune 500s and top AI-natives (Shopify, Redis, Abridge, Hippocratic, Applied Compute, etc.). In 2025, adoption grew >600%, now launching more GPUs per month than the biggest neocloud’s fleet. Currently in stealth, SkyPilot is founded in 2024 by UC Berkeley PhDs and professors (incl. Databricks cofounders). We’re building a top-tier engineering team, with current talent from Databricks, Google, Crusoe, ByteDance, and PingCap.

Requirements

  • Strong systems background: 3+ years of industry experience in backend engineering (YOE can be relaxed for exceptional candidates).
  • Experience with cloud infra technologies: e.g., gRPC, Protobuf, AWS EC2 / GCP GCE / Azure, object storage, cloud networking, Kubernetes, Terraform, load balancers.
  • Experience with Python/Go, or other systems programming languages.
  • Passion for building the future of AI infra and cloud computing.

Nice To Haves

  • Designed and/or implemented impactful infra platforms & cloud/distributed systems.
  • Familiarity with GenAI / DL / ML workloads or related infra frameworks (e.g., Kueue, KAI, KServe).

Responsibilities

  • Design and build core AI systems in the Sky Computing vision to make SkyPilot the standard solution in multi-cloud, any-cloud execution for AI.
  • Build enhancements and new components to evolve SkyPilot with better support of a wide range of AI and batch workloads.
  • Engage with users: Opportunity to work closely with our users and customers to make their use cases successful; to grow our open-source community; to gain visibility for your work via public tutorials, blog posts, and/or talks.

Benefits

  • Competitive equity and compensation.
  • Chance to work with some of the best minds in cloud, distributed, and AI systems.
  • Front-row seat at the latest open-source infra startup from Berkeley (prev: Databricks, Anyscale).
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