Software Engineer, Build Systems & Release Infrastructure
Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Sep 18, 2026. FuriosaAI scores A on the Alion truth index.
About FuriosaAI
FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon.
Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise.
Software Engineer, Build Systems & Release Infrastructure
Seoul, South Korea (Hybrid)
About the Job
Owns how FuriosaAI's software gets built, versioned, packaged, and shipped - turning a multi-language, multi-repository codebase (Rust, Python, C/C++) into reproducible, well-versioned releases of the various packages that make up the Furiosa SDK and that customers and the open-source community can rely on. This role centers on build systems, dependency management, packaging, and release engineering.
Key Responsibilities
- Designs and maintains the build systems and toolchains across a polyglot codebase (Cargo, CMake, Python packaging), producing reproducible, hermetic builds across supported platforms.
- Owns the release engineering process for the various packages that make up the Furiosa SDK - versioning schemes, release branching, tagging, changelog generation, and coordinated release cuts across multiple interdependent packages.
- Manages dependency alignment across the SDK's interdependent native components, Python packages, and runtime libraries - defining version constraints and compatibility policy so releases assemble cleanly.
- Builds and operates packaging and distribution pipelines for publicly distributed artifacts - Python wheels (PyPI), APT/RPM packages, and Docker images - including Docker image builds, versioned tagging, signing, metadata, and package repository and container registry maintenance.
- Designs and manages major, minor, and hotfix release workflows, including release planning, stabilization, backports, validation, and end-of-life processes.
- Develops CI automation for build, test, integration, and release, with a focus on build correctness, artifact integrity, caching, and fast, reliable release validation.
- Resolves OS- and platform-specific build issues and upstreams fixes to the open-source community where appropriate.
Minimum Qualifications
- Bachelor's degree in Computer Science or equivalent work experience.
- 3+ years in build or release engineering, developer infrastructure, or systems software with significant build and packaging responsibility.
- Strong proficiency in Python and shell scripting (e.g., Bash) for automation.
- Hands-on experience with build systems across compiled and interpreted languages (e.g., Cargo, CMake, Make, Bazel) and with C/C++, Rust, and Python toolchains.
- Fluency with Git and experience setting up and maintaining continuous integration systems.
Preferred Qualifications
- Active contributor to the build/release and CI/CD systems of a real-world software project
- Experience with Python packaging and distribution (wheels, manylinux, PyPI) and native extension builds (PyO3, pybind11, or C extensions).
- Experience maintaining APT/RPM repositories and OS package distribution.
- Experience managing reproducible builds, artifact and version management, and dependency resolution across many interdependent packages.
- Experience designing and operating CI/CD with GitHub Actions or similar, including build caching and matrix builds.
- Experience releasing software for GPUs or other accelerator devices, including hardware-dependent build and test pipelines.
- Familiarity with static analysis, code coverage, supply-chain/vulnerability scanning, and artifact signing.
- Experience building across multiple operating systems and distributions (e.g., Ubuntu, CentOS/RHEL).
Why Join FuriosaAI
The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up.
With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.
At Furiosa, you will:
Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.
Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.
Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.
Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.
Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.