greenhouse
Compiler Code Gen Engineer
Lemurian Labs
Remote, USA
Full-time
Mid · 4+ years experience
Remote
Discovered 3 weeks ago
C++CLLVM
Free
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Role Overview
We're looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets.
If you love digging into instruction selection, register allocation, and low-level target-specific optimization and you want that work to matter at the scale of the next era of AI infrastructure, this role is for you.
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C++CLLVM
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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 Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets.
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