Software Engineer (Build & Release)

We are looking for a Build & Release Software Engineer to own our build systems, CI/CD infrastructure, and release tooling for the software powering Xona’s satellite systems

You’ll improve developer productivity while ensuring reliable, repeatable builds and releases across both simulation and hardware-integrated environments

Design, maintain, and optimize cross-platform build systems using tools such as CMake and Bazel

Manage and upgrade compiler toolchains (GCC, Clang, etc.) while handling complex dependency graphs, third-party libraries, and internal package management

Own and improve CI/CD workflows supporting large-scale C++ applications

Diagnose and optimize compilation and linking bottlenecks through caching, parallelization, and distributed build strategies

Ensure seamless cross-compilation across multiple architectures, including x86 and ARM

Support testing in containerized and emulated environments using technologies such as Docker and QEMU

Write robust tooling and automation scripts in Python and Bash for environment provisioning, static analysis, and artifact generation

Partner closely with C++ software engineers to improve modular architecture, dependency management, and overall build reliability

Ensure reproducible build and release environments across local development, CI, and hardware-integrated systems- 3+ years of experience in Build & Release Engineering, Developer Infrastructure, or DevOps supporting complex C++ codebases

Experience managing complex dependency graphs and modular build targets

Familiarity with modern C++ standards (C++17/20/23)

Strong understanding of the C++ build, compilation, and linking lifecycle

Advanced proficiency with CMake and GNU Make/Ninja

Strong Linux command-line and Bash scripting skills

Experience developing or supporting Embedded Linux systems using Yocto, Buildroot, or similar tools

Familiarity with GitLab CI workflows

Experience with hardware emulation tools such as QEMU and containerization platforms such as Docker

Experience optimizing large-scale build systems using Bazel, remote execution, or similar distributed build technologies

Experience working on embedded, aerospace, robotics, or other hardware-integrated software systems

Knowledge of linker internals, symbol visibility, and binary analysis tools such as ldd, nm, objdump, and readelf

Familiarity with static and dynamic analysis tools such as Clang-Tidy, AddressSanitizer (ASan), and SonarQube