Compiler Engineer - Machine Learning Compiler

Mythic; Austin (OR); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Benefits package

Job summary

A pioneering AI computing company in Oregon is seeking a Compiler Engineer to develop compilers for novel AI hardware. This role involves optimizing compiler performance for deep learning workloads and requires a strong background in modern C++ and Python. You will work closely with hardware engineers and contribute to shaping the architecture of cutting-edge dataflows in machine learning applications. Offering competitive compensation and an innovative work environment.

Qualifications

• 3+ years of experience building compilers or high-performance systems software.
• Expert in modern C++ and strong Python.
• Experience with compiler IRs and transformations.

Responsibilities

• Contribute across the full compiler stack.
• Optimize for dataflow architectures.
• Collaborate with hardware architects.

Skills

Modern C++ (C++14/17/20)

Python

Building compilers or high-performance systems software

Experience with compiler IRs

Tools

ONNX

MLIR

TVM

XLA

IREE

PyTorch

Job description

Compiler Engineer - Machine Learning Compiler

Join to apply for the Compiler Engineer - Machine Learning Compiler role at Mythic

About Us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× 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. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.

We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About The Role

Join us in building the next generation of AI compilers. You’ll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware—defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.

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

At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.