Architect and build MLIR ecosystems, extending dialects while ensuring conversion paths. Collaborate with hardware engineers to integrate with PyTorch and modern frameworks.
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.
Here's what you will do
- Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies.
- Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration.
- Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging.
- Enable compilation by extending MLIR integration across analog accelerators and digital subsystems.
- Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)
Here's the background we hope you will have
- 3+ years of experience in compiler or high-performance systems development.
- Proficiency in modern C++ (C++14/17/20) and Python.
- Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines.
- Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.
The following would be nice to have, but is not required
- Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs.
- Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor).
- Knowledge of dataflow architectures, scheduling, and memory orchestration.
- Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs).
What we offer
- 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.
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.
Similar Jobs
Fintech • Software
The Venue Account Executive will prospect investment banks, private equity firms, law firms, accounting advisors, and corporations; manage the full B2B sales cycle; execute territory plans; build senior-level relationships; conduct meetings and networking; collaborate with internal sales and service teams; and maintain Salesforce pipeline records. The role requires selling software and service solutions while meeting revenue and quota objectives.
Top Skills:
LinkedInSalesforce
Software • Hospitality
Performs accounts receivable, accounts payable, payroll, and general accounting functions for hotel financial operations. Assists with monthly financial reporting, month-end close, internal controls, dispute resolution, and communication of financial results. Collaborates with finance and corporate departments while supporting accurate and timely financial processes. The schedule is Monday through Friday mornings, with occasional weekend work during month-end closing.
Software • Hospitality
Provides interior design expertise for Hilton’s focused-service and all-suites hotel brands. Reviews design submittals, plans, specifications, finishes, and shop drawings; manages approvals; supports brand standards; leads design meetings; coordinates with franchisees, consultants, vendors, and internal teams; and applies technical and project management skills to advance hotel renovation projects.
Top Skills:
AutocadBluebeamRevit
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
