Developer Relations Engineer
SkyPilot
Developer Relations Engineer
SkyPilot
Multi-cloud AI compute orchestration platform
SkyPilot accelerates the world's most ambitious AI teams. SkyPilot turns fragmented AI compute across clusters into one optimized, highly available and easy-to-use pool: a single AI supercomputer.
SkyPilot (10k+ GitHub stars, 18M+ downloads) manages the GPU fleets of 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. To date, SkyPilot has raised over $20M in seed funding from top investors (incl. Lux, Coatue, Amplify) and operators (incl. Ali Ghodsi, Jeff Dean, Guillermo Rauch, Amjad Masad, Clem Delangue, Aaron Levie).
SkyPilot grew on the strength of its developer community — the engineers who found it, ran it, and told the next team about it. We're hiring a Developer Relations Engineer to grow that community the way engineers respect: by building. You'll work in the open on real demos, example apps, wrappers, and integrations (e.g., Autoresearch), plus the technical content and talks that teach engineers how to run AI infrastructure well. You turn SkyPilot's engineering into things developers can run, learn from, and build on.
Build in the open: write demos, example apps, wrappers, and integrations that show developers what SkyPilot makes possible, with working code they can run.
Create technical content: write the tutorials, deep-dives, and docs that teach engineers how to run AI infrastructure well, and get them in front of the right communities.
Show up where developers are: talks, workshops, GitHub, forums, and conferences, as a credible engineer the community trusts.
Close the loop with product: carry what the community struggles with back to engineering, and help shape the open-source surface.
You're an engineer who loves to teach: you can build a real project and then explain it in a way developers trust.
Strong coding ability (Python and/or Go), enough to build wrappers, demos, and integrations yourself.
You know cloud, Kubernetes, and/or GPU and ML workflows well enough to be credible with infrastructure engineers.
A track record of public technical work: content, talks, open source, example projects, or an audience you've built.
You are energized by developer community and open-source.
Competitive compensation and equity.
Comprehensive medical, dental, vision coverage for you and your dependents.
Company 401(k) plan.
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.
Gourmet lunch & dinner for the team to do their best work.
Location: San Mateo, CA. Remote will be considered for exceptional candidates.
SkyPilot provides a single control layer to manage AI compute across many clouds, clusters, and hardware. Teams can define and launch AI workloads with infrastructure as code using one YAML file that targets 20+ cloud providers, Kubernetes, and on‑prem systems, with SkyPilot acting as a neutral broker to route workloads to the most cost‑effective or available resources, including spot instances and automatic failover. The open‑source SkyPilot has millions of downloads and is used by Shopify, Nubank, Abridge, and Hippocratic AI; the enterprise SkyPilot Platform adds GPU health monitoring, automated remediation, multi‑team quotas, SSO, and SOC 2. Its goal is to reduce GPU fragmentation and vendor lock‑in while boosting utilization, so AI teams can focus on building models rather than managing infrastructure.
Explore more opportunities at SkyPilot