The AI Institute
Senior Build Engineer
The AI Institute, Cambridge, Massachusetts, us, 02140
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Role Overview
The Senior Build Engineer will be an integral member of the team responsible for developing, supporting, and maintaining the build system and continuous integration (CI) processes at the AI Institute. This role is critical to the Institute's success, ensuring that the codebase remains stable and builds are efficient. The ideal candidate will focus on constructing reproducible builds for rapid iteration, creating maintainable build artifacts, and managing dependencies, all of which are essential for sustained productivity across the Institute.
ResponsibilitiesDesign, develop, and maintain a company-wide build system and continuous integration (CI) infrastructure for both internal and external repositories, ensuring reliable and reproducible buildsCollaborate with research and development teams to integrate software and third-party libraries into the build systemDrive release engineering efforts, including packaging, deployment, and version managementMaintain and evolve version control workflows, ensuring efficient branching, merging, and code review processesTroubleshoot and resolve build failures, dependency conflicts, and CI-related issuesImplement and optimize build pipelines for speed, reliability, and scalabilityManage and maintain build artifacts, ensuring they are reproducible, versioned, and easily accessibleDevelop and maintain automated testing frameworks within the CI pipeline to ensure code qualityMonitor, report on, and continuously improve build system performance metrics.Qualifications
BS or MS in Computer Science or equivalent experience10+ years of experience in software development.5+ years of experience in Linux build/release engineering
Technical Skills:Strong experience with CI tools (e.g., GitHub Actions). Expertise with build automation tools (e.g., Bazel, CMake, Colcon).Proficiency with container technologies (e.g., Docker). Familiarity with modern Python and C++ developmentExperience with dependency management tools (e.g., pip, poetry).Knowledge of Debian packaging systems (e.g., apt).
Soft Skills:Excellent communication and collaboration skillsStrong documentation practices for build processes and CI/CD pipelines.Bonus
Experience with GitHub Enterprise, Google Artifact Registry, or other artifact management platformsHands-on experience with ROS/ROS2 in a robotics environmentKnowledge of Kubernetes and container orchestrationFamiliarity with cross-compilation and build systems for embedded systems or specialized hardwareBackground in real-time systems.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Role Overview
The Senior Build Engineer will be an integral member of the team responsible for developing, supporting, and maintaining the build system and continuous integration (CI) processes at the AI Institute. This role is critical to the Institute's success, ensuring that the codebase remains stable and builds are efficient. The ideal candidate will focus on constructing reproducible builds for rapid iteration, creating maintainable build artifacts, and managing dependencies, all of which are essential for sustained productivity across the Institute.
ResponsibilitiesDesign, develop, and maintain a company-wide build system and continuous integration (CI) infrastructure for both internal and external repositories, ensuring reliable and reproducible buildsCollaborate with research and development teams to integrate software and third-party libraries into the build systemDrive release engineering efforts, including packaging, deployment, and version managementMaintain and evolve version control workflows, ensuring efficient branching, merging, and code review processesTroubleshoot and resolve build failures, dependency conflicts, and CI-related issuesImplement and optimize build pipelines for speed, reliability, and scalabilityManage and maintain build artifacts, ensuring they are reproducible, versioned, and easily accessibleDevelop and maintain automated testing frameworks within the CI pipeline to ensure code qualityMonitor, report on, and continuously improve build system performance metrics.Qualifications
BS or MS in Computer Science or equivalent experience10+ years of experience in software development.5+ years of experience in Linux build/release engineering
Technical Skills:Strong experience with CI tools (e.g., GitHub Actions). Expertise with build automation tools (e.g., Bazel, CMake, Colcon).Proficiency with container technologies (e.g., Docker). Familiarity with modern Python and C++ developmentExperience with dependency management tools (e.g., pip, poetry).Knowledge of Debian packaging systems (e.g., apt).
Soft Skills:Excellent communication and collaboration skillsStrong documentation practices for build processes and CI/CD pipelines.Bonus
Experience with GitHub Enterprise, Google Artifact Registry, or other artifact management platformsHands-on experience with ROS/ROS2 in a robotics environmentKnowledge of Kubernetes and container orchestrationFamiliarity with cross-compilation and build systems for embedded systems or specialized hardwareBackground in real-time systems.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.