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 heterogeneous AI compiler
• Design and implement new capabilities in our compiler based on our novel compiler architecture
• Propose improvements to and expansions of our novel compiler architecture with respect to new advancements in machine learning model architectures and hardware
• Use the latest techniques in parallelization and partitioning to automate generation and exploit highly optimized kernels
• Generate and use performance data to identify opportunities and drive improvements
• Work with our product team to understand the evolving needs of ML engineers and drive improvements in architecture
  

• BS degree in computer science, computer engineering, electrical engineering, or equivalent practical experience
• 4+ years of experience working with compilers
• Very strong knowledge of compiler algorithms and data structures
• Experience and interest in low level code generation, object file manipulation and target specific optimizations
• 4+ years of experience with C/C++
• Strong written and oral communication, and able to write clear and concise documentation
• Team first attitude
• Detail oriented
  

• Masters or PhD degree in computer science, computer engineering, electrical engineering, or equivalent practical experience
• Knowledge of traditional compiler techniques; instruction selection, register allocation and traditional analysis like dominance, def-use et al
• Knowledge of calling conventions and APIs, linking and relocations
• Working knowledge of LLVM
• Experience with loop optimizations (vectorization, unrolling, fusion, parallelization, etc)
• Experience with machine learning workloads and their demands on hardware
  

This is an opportunity to shape the future of AI software and help developers and enterprises unlock new possibilities. If you’re passionate about AI infrastructure, software optimization, and building transformative products, let’s talk!

Salary depends on experience and geographical location.

This salary range may be inclusive of several career levels and will be narrowed during the interview process based on a number of factors, such as candidate’s experience, knowledge, skills and abilities, as well as internal equity among our team.

Additional benefits for this role may include: equity, company bonus opportunities; unlimited PTO; medical, dental, and vision benefits; retirement savings plan; and supplemental wellness benefits.

Lemurian Labs ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

EOE