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# Forward Deployed Engineer

- **Company:** SKYPILOT LLC
- **Location:** San Mateo, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Data Centers, Software Debugging, Linux, Python (Programming Language), Open Source Technology, Systems Integration, Amazon Virtual Private Cloud (VPC), Kubernetes, Machine Learning Operations
- **Published:** November 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4adc72ede2b5361b

## About the Role

* You've deployed and integrated complex infrastructure or platform software into real customer environments, and you thrive in ambiguity.
 * Strong systems and cloud fundamentals - comfortable across clouds, Kubernetes, and Linux, and able to debug someone else's environment.
 * Strong Python (or similar) - enough to build the glue, tooling, and integrations a deployment needs.
 * Genuinely customer-facing: you communicate clearly, build trust, and turn messy requirements into shipped solutions - you want to be where the product meets the real world.
 * Experience as a forward-deployed or field engineer, familiarity with GPU / ML workloads and the tools to train and serve them, or a developer-facing / open-source background.

## Description

SkyPilot powers frontier AI teams and enterprises that run our platform inside their own clouds, Kubernetes clusters, and data centers. We're looking for a Forward Deployed Engineer to embed with them end to end - deploying and integrating SkyPilot, shaping how their workflows map onto it (and how SkyPilot adapts to them), and solving the hard problems that stand between a customer and production. You'll own the technical side of making customers wildly successful. You're the person a frontier team leans on to get SkyPilot running in their own infrastructure., * Partner with the teams building frontier AI: work hands-on with foundation labs and AI-natives to architect and deploy their production workloads on SkyPilot - across cloud, VPC, Kubernetes, and on-prem.

 * Lead discovery and sales: design compelling sales demos, run the technical deep-dives that turn a customer's goals into a design they can ship, and build trust with the engineers and technical leaders - CTOs, VPs of Engineering, ML leads - driving the work.
 * Fit SkyPilot to the customer - and the customer to SkyPilot: adapt their workflows to run well on SkyPilot, shape the product to how they work, and turn each engagement into a repeatable playbook.
 * Bring the field back to the product: unblock the hard infrastructure problems in production, and carry customer signal back to the core engineering team.