Jan Leyonberg is a veteran compiler engineer with over 15 years of hands-on experience (and two decades of domain focus) building code generation, optimization and tooling for embedded processors, CPUs and GPUs. Currently a PMTS Compiler Engineer at AMD, he has driven LLVM/MLIR backend work, OpenMP device lowering and OpenCL/AMDGPU features, and contributed to the high-profile llvm-project open-source ecosystem. His background spans industrial research and product work—from wafer-scale distributed code generation at Cerebras to polyhedral and streamization prototypes in GCC and MathWorks—showing a rare depth across analysis, backend codegen and runtime integration. Based in Canada, he blends systems-level performance engineering with interests in AI, ML and blockchain, and off the clock pursues sailing and documentary film. A practical innovator, he repeatedly turns advanced compiler theory into production-ready toolchains and automated testing pipelines.
15 years of coding experience
24 years of employment as a software developer
Visiting Graduate Student, Visiting Graduate Student at Rice University
Master of Science Computer Science, Master of Science Computer Science at Uppsala University
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Backend Developer
Contributions:82 reviews, 30 PRs, 35 pushes in 4 years 9 months
Contributions summary:Jan primarily contributes to the LLVM project by implementing and refactoring code related to the OpenMP and MLIR dialects. Their work involves modifying the lowering process for OpenMP operations, specifically targeting device code generation. Additionally, the user modifies and adds code related to the flang compiler, including features such as linking bitcode libraries and converting math operations for AMDGPU targets. The user is involved in testing the changes.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:88 pushes, 23 branches in 1 year 6 months
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