Mythic

Compiler Engineer - Algorithmic Workloads Compilation

Palo Alto, CA

Sponsorship not specifiedDetected 293 days ago

PythonC++AlgorithmsCI/CDMachine LearningPyTorchLLMsRoboticsSignal Processing

About the role

Help push the boundaries of what can run on our accelerator.
The result: a compiler that makes complex algorithms practical to deploy while staying seamless for developers.
Here's the background we hope you will have

You'll design compiler IRs and lowering strategies to support algorithmic workloads with irregular or dynamic control flow-loops, branches, and iterative methods-going beyond static neural networks.
Working side by side with hardware engineers, you'll influence ISA and execution model co-design to unlock new algorithm classes on analog and digital subsystems.
Background in compiler-hardware co-design: working with hardware designers to refine ISA or execution models for efficiency
Experience extending ML compiler stacks (ONNX, IREE, XLA, PyTorch, TVM) to support workloads beyond DNNs
A role that bridges compiler design and hardware co-design, shaping both the IR and the accelerator architecture.
A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design.
We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver.
Proven ability to prototype irregular or control-flow algorithms in compiler IRs and optimize them for performance and resource constraints

3+ years of professional experience in compilers or high-performance systems software
Proficiency in modern C++ (C++14/17/20) and Python
Familiarity with compiler IRs (e.g., MLIR, LLVM, or equivalent) and their use representing complex program structures
Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations, vectorization)
The following would be nice to have, but is not required

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.
At Mythic, we foster a collaborative and respectful environment where people can do their best work.

This listing is sourced directly from Mythic's careers page and normalized into a canonical job model.