Compiler Engineer - Machine Learning Compiler
Key Skills for This Role
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Here's what you will do
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
Here's the background we hope you will have
3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
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
The following would be nice to have, but is not required
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
Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
What we offer
The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
Competitive compensation, equity, and benefits package
About Mythic-ai.com
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