Front End Compiler Engineer
Posted 13 Feb 2026
Advertised as “Front End Compiler”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelBachelor's
Field of studyComputer Science (or related)
Study levelMaster's or higher
About Us
At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster.
We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law.
We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us.
About the Role
We're looking for a Front End Compiler Engineer to own the ingestion layer of our high-performance, portable AI compiler. This is where the journey begins — you'll build the systems that parse, validate, and lower representations from frameworks like PyTorch, StableHLO, ONNX, and MLIR dialects into our internal compiler IR, setting the stage for everything that follows.
If you're drawn to the elegance of well-designed language frontends, care deeply about correctness and coverage, and want your work to directly enable next-generation AI models to run anywhere — this is the role for you.
What You'll Do
- Design, develop, and maintain the front end of our heterogeneous AI compiler, including parsing, validation, and IR lowering stages
- Build and extend ingestion pipelines for ML frameworks and representations including PyTorch, StableHLO, ONNX, and MLIR-based dialects
- Define and evolve the interface between external model representations and our internal compiler IR
- Ensure correctness and completeness of operator coverage across supported frameworks and hardware targets
- Collaborate with graph optimization and code generation teams to ensure clean, well-structured IR that enables downstream transformations
- Use performance and correctness data to identify gaps in coverage and drive improvements
- Contribute to documentation and tooling that helps ML engineers understand and debug the ingestion process