We are building an MLIR-based compiler and inference stack for custom AI silicon used in telecommunications baseband processing. The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and code generation onto a multi-core processor architecture with custom accelerators. We already have a working proof point. Real workloads are running on custom silicon at competitive perf-per-watt, and we are building the general-purpose compiler stack around it. This is a small team building something real, not a research project. We are hiring a Principal Compiler Engineer to lead the technical direction of the compiler stack while remaining hands-on in the code. You will make the hard architectural calls, own the pieces of the compiler that determine whether it succeeds, and mentor a growing team of senior compiler engineers. We believe the best architecture comes from the people implementing the system, not from a separate role. This is a hands-on technical leadership role. You will architect, code, review, debug, and profile. If you are looking for a role where you design without shipping, this is not it. You will work directly with hardware architects, runtime developers, and AI researchers, and you will shape both the compiler and how the team builds it. The role requires both breadth, reasoning across the full compiler stack, and depth, going deep on whatever subsystem needs it most at a given moment. We expect this person to move fluidly between architecture, implementation, debugging, and performance analysis.
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Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed