Salary
≈ $65k – $154k per year (Estimated)
Location
In office (Cologne)
Employment
Full-Time
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Apr 17, 2026.
Overview
Company
Impact
Profile match
Our software allows you to efficiently deploy any AI model from any framework on diverse target hardware. Achieve optimal performance and simplify your AI deployment process with Roofline.
Who we are
Roofline is building a Deployment Platform to run any model on disruptive hardware at the edge. We are looking for talented and ambitious engineers that are passionate about technology to design and implement new components in our software stack. You will work alongside other world class engineers to enable the full spectrum of AI applications across heterogeneous hardware platforms.Why us?
- The opportunity to grow. Be at the forefront of building and shaping an industry-defining venture. There are plenty of opportunities to learn and evolve.
- The team to succeed. We are building the leading AI compiler team in Europe. Join our future-focused team to contribute to meaningful, disruptive innovations with us.
- The flexibility you need. Whether you need to take extra time off, adjust your schedule, or have other ideas to maximize your productivity, we’ve got your back
- The compensation that rewards. We are looking for world class talent and pay accordingly. We offer equity for every employee since we truly want you to participate in our success.
- The culture you desire. We actively make space to build our culture. We organize dedicated regular events and retreats for the whole team.
Your mission
- Own and evolve our Bazel-based build system powering our ML compiler platform, ensuring fast, reproducible, and reliable builds across a growing codebase and multiple hardware targets.
- Design and maintain Python packaging and distribution pipelines, delivering our compiler toolchain and runtime components as well-structured, versioned Python wheels for customers and internal teams.
- Champion developer experience by building intuitive tooling, documentation, and self-service workflows that streamline onboarding, reduce friction in local development, and empower engineers to iterate quickly and confidently.
- Develop and optimize CI/CD infrastructure to support rapid iteration, catch regressions early, and scale with the demands of a fast-moving compiler project.
- Manage third-party dependencies, SDKs, and toolchains, ensuring consistent and hermetic build environments across development, testing, and production.
- Collaborate closely with compiler, runtime, and test engineers to integrate new components smoothly, resolve build and linking issues, and keep developer workflows frictionless.
- Improve build performance through caching strategies, parallelization, dependency analysis, and tooling that minimizes developer wait times.
- Define and enforce packaging standards, release processes, and versioning policies that support reliable deployment across diverse edge hardware platforms.
Your profile
- Knowledge and hands-on experience in Python, C/C++
- Degree in Computer Science / Electrical Engineering or a related field
- Strong experience with Bazel or similar hermetic build systems
- Solid understanding of Python packaging, particularly building and distributing wheels (including native/binary wheels wrapping C/C++ extensions)
- Proven understanding of software engineering principles, data structures, design patterns, and algorithms · Hands-on experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, or Buildkite)
- Ambition and curiosity to solve complex problems, a strong mindset to take ownership of your tasks to drive our solutions forwards, and collaborative attitude to foster our culture
- Ownership is taken beyond immediate tasks, with the tools and pipelines the team depends on kept reliable and continuously improved
Nice to haves:
- Experience in a technical leadership role or leading a project.
- Experience working with compiler projects, particularly with MLIR or LLVM build infrastructure
- Familiarity with cross-compilation toolchains and building for heterogeneous hardware targets (CPUs, GPUs, NPUs/accelerators)
- Knowledge of reproducible build practices, hermetic builds, and supply chain security
- Experience with containerization (Docker, OCI images) and infrastructure-as-code for build environments
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