À propos de ce poste Senior DevOps Engineer chez Skild AI
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
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.
Responsibilities
- 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.
Preferred Qualifications
- BS, MS, or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years in DevOps, infrastructure engineering, or build/release engineering.
- Hands-on experience owning a Bazel/Skylark build system from scratch at a 100–500 person company, including custom rules, platforms, and toolchain configuration.
- Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms.
- Proven track record building automated SIL/HIL test pipelines (Jenkins or equivalent) for robotics or embedded systems.
- Strong Python and Bash scripting; solid Linux internals, Docker, and cross-compilation knowledge.
