Senior DevOps Engineer

About the Company

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.

Responsibilities

• Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching
• 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
• 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
• Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks

Requirements

• BS, MS, or higher in Computer Science, Engineering, or a related field
• 5+ years in DevOps, infrastructure engineering, or build/release engineering
• Hands-on experience owning a Bazel/Skylark build system from scratch
• Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms
• Proven track record building automated SIL/HIL test pipelines
• Strong Python and Bash scripting
• Solid Linux internals, Docker, and cross-compilation knowledge