The Build Engineer develops and maintains the build system and CI processes, ensuring reliable builds, managing dependencies, and optimizing performance.
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 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 Robotics and AI Institute. This role is critical to the Institute’s success, ensuring that the codebase remains stable and builds are efficient. You will develop, support, and maintain the build system (with a strong focus on tools like Bazel, CMake, and Colcon) and continuous integration processes. 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.
Responsibilities
- This role focuses on build system tooling and software compilation, not infrastructure provisioning or production deployment pipelines.
- Design, develop, and maintain a company-wide build system and continuous integration (CI) infrastructure for both internal and external repositories, ensuring reliable and reproducible builds
- Collaborate with research and development teams to integrate software and third-party libraries into the build system
- Drive release engineering efforts, including packaging, deployment, and version management
- Maintain and evolve version control workflows, ensuring efficient branching, merging, and code review processes
- Troubleshoot and resolve build failures, dependency conflicts, and CI-related issues
- Implement and optimize build pipelines for speed, reliability, and scalability
- Manage and maintain build artifacts, ensuring they are reproducible, versioned, and easily accessible
- Develop and maintain automated testing frameworks within the CI pipeline to ensure code quality
- Monitor, profile, and improve build performance (e.g., incremental build times, cache effectiveness, dependency graph complexity
Qualifications
- BS or MS in Computer Science or equivalent experience
- 3-5 years of experience in software development. 3+ years of experience in Linux build/release engineering
- Strong experience with build automation tools (e.g., Bazel, CMake, Colcon), including deep understanding of compilation pipelines, dependency graphs, and build system performance tuning
- Experience with modern C++ (C++17 or later) and Python, particularly in the context of building, linking, and packaging large codebases
- Experience with dependency management tools (e.g., pip, poetry).
- Knowledge of Debian packaging systems (e.g., apt).
- Excellent communication and collaboration skills
- Strong documentation practices for build processes and CI/CD pipelines.
Technical Skills:
Soft Skills:
Bonus
- Experience with GitHub Enterprise, Google Artifact Registry, or other artifact management platforms including artifact versioning, traceability, and reproducibility best practices.
- Hands-on experience with ROS/ROS2 in a robotics environment
- Familiarity with Kubernetes and container orchestration, particularly as it relates to managing builds and deployments of complex systems
- Familiarity with cross-compilation and build systems for embedded systems or specialized hardware
- Background in real-time systems, with exposure to deterministic build requirements and RTOS-specific build workflows.
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.
Top Skills
Bazel,Cmake,Colcon,C++,Python,Pip,Poetry,Debian Packaging,Github Enterprise,Google Artifact Registry,Kubernetes
RAI Institute Cambridge, Massachusetts, USA Office
145 Broadway, Cambridge, MA, United States, 02142
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