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.
Your mission
- Design, maintain, and evolve our custom ML model benchmarking and validation infrastructure to measure correctness, performance, and regressions across compiler releases.
- Validate compiled models using our tools within third-party software stacks to uncover integration issues, edge cases, and performance gaps.
- Collaborate closely with compiler, runtime, and ML engineers to reproduce, diagnose, and root-cause failures across complex software and hardware environments.
- Build scalable test pipelines that cover diverse models, workloads, and hardware targets, enabling rapid iteration on a fast-moving compiler stack.
- Contribute test cases, benchmarks, and tooling that improve robustness, observability, and long-term reliability of our ML compiler platform.
- Own the evolution of our build system and CI/CD infrastructure, ensuring it stays performant, correct, and well-matched to the demands of a rapidly developing compiler project.
Your profile
- Knowledge and hands-on experience in Python, C/C++
- Degree in Computer Science/ Electrical Engineering or a related field
- Proven understanding of software engineering principles, data structures, design patterns, and algorithms
- 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 as a Quality Assurance or Test Engineer
- Experience working compilers particularly with MLIR or LLVM
- Experience with compute frameworks like Vulkan, Cuda, Metal or OpenCL
- Knowledge of AI algorithms, experience with using AI accelerators or compiling to relevant hardware
- Knowledge of data motion networks, data flow programming models, and optimized AI libraries
- Knowledge about hardware architectures of CPUs, GPUs, or NPUs/accelerators is a plus
- Experience with Python