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.

Here is what you will do:

• 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 bottleneck

Essential Skills and Experience:

• BS degree in computer science, computer engineering, electrical engineering, or equivalent practical experience
• 4+ years of experience working with compilers.
• 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.

Preferred Skills and Experience:

• Masters or PhD degree in computer science, computer engineering, electrical engineering, or equivalent practical experience.
• Experience developing or maintaining libraries like CUDA or ROCm.
• Experience with GPU programming.
• Experience with high performance computing (HPC).
• Knowledge of DL frameworks such as PyTorch, JAX or Triton.
• Experience with programming large compute clusters.

Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.

Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.