Senior DevOps Engineer

We are looking for a DevOps Engineer to design, build, and maintain the infrastructure that powers Skild AI’s robotics development at scale. You will own the systems that let our engineering teams move fast — from build tooling and CI/CD pipelines to cross-platform hardware-in-the-loop testing infrastructure. This is a foundational role: you will be setting up and scaling critical systems in a company that is growing quickly, working directly alongside machine learning, robotics software, and hardware engineers to keep our development cycles fast and our deployments reliable.

What will you be doing?

- Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching across a multi-language codebase.

- Build and maintain CI/CD pipelines for automated software and hardware-in-the-loop (SIL/HIL) testing using Jenkins or equivalent.

- Develop cross-compilation toolchains and system library packages targeting ARM/aarch64 embedded Linux platforms and integrate them into the build system.

- Manage cloud and on-premise infrastructure (AWS/GCP/Azure) supporting model training, simulation, and deployment.

- Maintain infrastructure-as-code (Terraform, Ansible) and own developer environment tooling to accelerate engineering iteration.

- Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks and define tooling roadmaps.