- Location
- Palo Alto, CA · Austin, TX · Vancouver, BC · Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- Software
- Experience
- 3+ years
- Source
- Lever
Description
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 advancing the MLIR ecosystem at Mythic. You’ll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that bridge to our current IRs. Working closely with hardware engineers and ML developers, your work will expand interoperability with PyTorch and other frameworks, laying the groundwork for long-term innovation. The result: an MLIR-based stack that unifies hardware constraints with developer needs and accelerates adoption of modern ecosystems.
Skills
PythonC++PyTorch
Benefits
Shape the MLIR and PyTorch integration strategy for novel AI hardware.Opportunity to contribute upstream and influence the broader ML compiler ecosystem.Collaborate with a team spanning hardware, runtime, and compiler design.Competitive compensation, equity, and comprehensive benefits.
