1 year ago
Remote, United States +3 moreMid Level
Responsibilities
- Extend compiler IRs to represent algorithms involving control flow and iterative computation beyond DNN graphs.
- Develop compilation strategies that unify analog compute with digital subsystems while maintaining performance and correctness.
- Prototype and optimize irregular or dynamic-control-flow algorithms using vectorization, predication, and scheduling.
- Collaborate with hardware engineers to co-design ISA and execution-model features for algorithmic workloads.
- Define higher-level programming abstractions and a roadmap to simplify prototyping and accelerate deployment.
Requirements
- At least 3 years of professional experience in compilers or high-performance systems software.
- Proficiency in modern C++ and Python.
- Familiarity with compiler IRs such as MLIR, LLVM, or equivalent systems for representing complex program structures.
- A solid foundation in program analysis and optimization techniques, including SSA form, loop optimization, and vectorization.
- Preferred experience developing MLIR or LLVM control-flow or affine/polyhedral dialects.
- Preferred experience with compiler-hardware co-design and refining ISA or execution models.
- Preferred experience optimizing irregular or control-flow-heavy algorithms in compiler IRs.
- Preferred experience extending ML compiler stacks such as ONNX, IREE, XLA, PyTorch, or TVM beyond DNN workloads.
Benefits
- Opportunity to make algorithmic and control-flow-heavy workloads practical on novel accelerator hardware.
- Role combining compiler design and hardware co-design and influencing accelerator architecture.
- Collaborative and innovative engineering environment with emphasis on rigor, continuous integration, and user-focused design.
- Competitive compensation, equity, and benefits package.
About Mythic
Mythic builds analog compute-in-memory AI processors and a compiler/runtime stack for efficient inference in edge and data-center deployments. The privately held company, founded in 2012 and headquartered in Austin, TX, sells silicon and development tools to customers in automotive, robotics, industrial, and defense markets. Investors include Honda and Lockheed Martin Ventures.