Lemurian Labs16mo ago

Runtime Engineer

San FranciscoFull-timemid

OtherEngineer

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Quick Summary

Overview

At Lemurian Labs, we’re on a mission to bring the power of AI to everyone—without leaving a massive environmental footprint. We care deeply about the impact AI has on our society and planet,

Technical Tools

OtherEngineer

At Lemurian Labs, we’re on a mission to bring the power of AI to everyone—without leaving a massive environmental footprint. We care deeply about the impact AI has on our society and planet, and we’re building a rock-solid foundation for its future, ensuring AI grows sustainably and responsibly. Because let’s face it, what good is innovation if it doesn’t help the world?

We are building a high-performance, portable compiler that lets developers “build once, deploy anywhere.” Yes, anywhere. We’re talking about seamless cross-platform compatibility, so you can train your models in the cloud, deploy them to the edge, and everything in between—all while optimizing for resource efficiency and scalability.

If the idea of sustainably scaling AI motivates you and you’re excited about making AI development both powerful and accessible, then we’d love to have you. Join us at Lemurian Labs, where you can have fun building the future—without leaving a mess behind.

Design, develop, maintain and improve our multi-target runtime

Use the latest techniques in parallelization and partitioning to automate generation and exploit highly optimized kernels

Rapid prototyping and data driven exploration of new ideas

Benchmark and analyze the outputs produced by our optimizing compiler on target hardware

Work closely with our product team to understand the evolving needs of ML engineers and drive improvements in architecture

Build tools to collect and analyze performance bottlenecks

A deep understanding of asynchronous, concurrent programming.

4+ years of experience with C/C++ (C++14 or newer).

An understanding of HW architecture (vector vs scalar registers and instructions, memory hierarchies).

Knowledge of operating system kernel development or hypervisor development.

Experience developing or maintaining libraries like CUDA or ROCm.

Experience with GPU programming.