Teams at Lemurian Labs

Build and maintain the front end of a portable AI compiler: parsing, validation, and IR lowering from frameworks (PyTorch, StableHLO, ONNX, MLIR) into internal IR. Ensure operator coverage, collaborate with optimization and codegen teams, and improve correctness, tooling, and ingestion pipelines.

Design, build, and maintain a multi-target runtime for an AI compiler stack. Implement low-level parallelization, kernel scheduling, and performance analysis; prototype runtime ideas; benchmark compiler outputs on target hardware; build tooling to collect and analyze performance bottlenecks; collaborate with compiler and product teams to improve runtime architecture for diverse hardware and large-scale execution.

Design and implement code generation features for a heterogeneous AI compiler, optimize low-level target-specific code, apply parallelization and kernel generation techniques, use performance data to guide improvements, and collaborate with product teams to align compiler architecture with ML needs.