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 company is looking to develop the compiler for its novel AI accelerator to shape how deep learning workloads run on cutting-edge dataflow hardware.
Requirements
- Expert in modern C++ (C++14/17/20) and strong Python.
- Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
- Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
- Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
- Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
- Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
- Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
Responsibilities
- Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
- Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
- Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
- Develop compilation strategies that unify our analog compute with digital subsystems
- Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Other
- 3+ years of experience building compilers or high-systems software, especially those involving complex resource management or optimization.
- Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
- A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design.
- We foster an environment of shared learning and technical excellence
- We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver.
