Member of Technical Staff, Distributed Systems
About The Position
SkyPilot accelerates the world's most ambitious AI teams. Every hour they spend fighting infrastructure is an hour the frontier doesn't move — so SkyPilot turns fragmented compute across clusters into one optimized, highly available and easy-to-use pool: a single "AI supercomputer." SkyPilot (10k+ GitHub stars, 14M+ downloads) is deployed at 100s of companies — from Fortune 500s to top AI-natives like Abridge, Applied Compute, Mistral, Unconventional AI, H Company, and Nubank — with usage growing exponentially. Born in the UC Berkeley lab behind Spark and Databricks, our growing team includes top-tier talent from Databricks, Google, Berkeley, MIT, CMU, and Cornell.
Requirements
- You've designed, built, and operated distributed systems at production scale.
- Deep systems fundamentals: scheduling, state machines, coordination, and fault tolerance.
- Python/Go fluency and strong reasoning skills about concurrent, distributed code.
- You reach for the simplest design that survives contact with real workloads — and can explain why.
- Experience with cloud provider control planes (AWS / GCP / Azure), Kubernetes internals, or operating across multiple clouds, and open-source or AI infrastructure contributions (e.g. KAI, KubeRay, Kueue, KServe).
Responsibilities
- Design and build the future of AI systems: you will solve some of the hardest problems in distributed AI systems to make SkyPilot the standard solution running frontier AI workloads.
- Shape the technical direction of SkyPilot: the modules, interfaces, and invariants the rest of engineering builds on — and raise the bar for how we design and operate the system.
- 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 compensation and equity
- Comprehensive medical, dental, vision coverage for you and your dependents
- The chance to work with some of the best minds in cloud, distributed, and AI systems — with significant autonomy and ownership.
- A front-row seat at the latest open-source infra startup from Berkeley (lineage: Databricks, Anyscale).
- Gourmet lunch & dinner for the team to do their best work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
