Member of Technical Staff, Distributed Systems

About SkyPilot

The role

What you'll do

• 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.

What we're looking for

• 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).

What we offer

• 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