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 Staff or Senior Compiler Engineer to work across the compiler stack. You will design and implement MLIR passes, debug IR transformations, optimize for real hardware constraints, and contribute wherever the hardest problems are, whether that is model import, scheduling, memory allocation, or code generation. You will work directly with hardware architects, runtime developers, and AI researchers, and you will help shape the compiler as it matures.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed