Mythic is building the future of AI computing with breakthrough analog technology that delivers 100x the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. The MLIR-based stack needs to unify hardware constraints with developer needs and accelerate adoption of modern ecosystems.
Requirements
- Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines.
- Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.
- Proficiency in modern C++ (C++14/17/20) and Python.
- Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs.
- Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor).
- Knowledge of dataflow architectures, scheduling, and memory orchestration.
- Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs).
Responsibilities
- Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies.
- Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration.
- Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging.
- Enable compilation by extending MLIR integration across analog accelerators and digital subsystems.
- Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)
Other
- 3+ years of experience in compiler or high-performance systems development.
- Shape the MLIR and PyTorch integration strategy for novel AI hardware.
- Opportunity to contribute upstream and influence the broader ML compiler ecosystem.
- Collaborate with a team spanning hardware, runtime, and compiler design.
- At Mythic, we foster a collaborative and respectful environment where people can do their best work.
