Design and build core backend AI systems and components for a multi-cloud execution platform. Enhance support for AI and batch workloads, collaborate with users and open-source community, and contribute public-facing content.
SkyPilot is building the future of multicloud AI infra. We are the Berkeley founding team commercializing 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 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.
You will play a crucial role in shaping the future of Sky Computing and AI infrastructure:
- 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.
Ideal Candidates
- Strong systems background: 3+ years of industry experience in backend engineering (YOE can be relaxed for exceptional candidates). Bonus: Designed and/or implemented impactful infra platforms & cloud/distributed systems.
- 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.
- Bonus: Familiarity with GenAI / DL / ML workloads or related infra frameworks (e.g., Kueue, KAI, KServe).
- Passion for building the future of AI infra and cloud computing.
What We Offer
- 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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