Runtime Engineer

Lemurian Labs; Santa Clara (CA); Híbrido; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Medical/Dental/Vision coverage

Retirement savings plan

Wellness benefits

Resumo da oferta

Lemurian Labs is seeking a Runtime Engineer to design and build a multi-target runtime at the heart of our AI compiler stack. This role focuses on executing optimized code across diverse hardware targets, combining low-level parallelization with kernel scheduling and performance analysis.

You will work closely with compiler and product teams to push the boundaries of AI hardware capability, delivering scalable runtime solutions for next-generation platforms.

Qualificações

• BS degree in CS/CE or equivalent practical experience.
• 4+ years of experience with compilers or runtime systems.
• Deep understanding of asynchronous and concurrent programming.
• 4+ years of experience with C/C++ (C++14 or newer).
• Knowledge of hardware architecture and memory hierarchies.

Responsabilidades

• Design, develop, maintain multi-target runtime.
• Apply parallelization and partitioning to automate kernel generation.
• Rapidly prototype and data-drive exploration of new runtime ideas.
• Benchmark and analyze outputs on target hardware.
• Build tools to collect and analyze performance bottlenecks.
• Collaborate with product teams to address ML engineer needs.

Conhecimentos

Compiler/Runtimes

C/C++

Async/Concurrent

Parallelization

Kernel scheduling

Formação académica

BS in CS/CE or equivalent

MS/PhD preferred

Ferramentas

CUDA

ROCm

GPU programming

Linux kernel development

Descrição da oferta de emprego

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 Runtime Engineer to design and build the multi-target runtime that sits at the heart of our AI compiler stack. This is a systems-level role where you'll take the output of our optimizing compiler and make it execute - efficiently, correctly, and at scale - across a diverse landscape of hardware targets.

You'll work on low-level parallelization, kernel scheduling, and performance analysis, and collaborate closely with our compiler and product teams to push the boundaries of what's possible on modern AI hardware.

What You'll Do

• Design, develop, maintain, and improve our multi-target runtime.
• Apply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths.
• Rapidly prototype and data-drive exploration of new runtime ideas.
• Benchmark and analyze the outputs produced by our optimizing compiler on target hardware.
• Build tools to collect and analyze performance bottlenecks.
• Work closely with our product team to understand the evolving needs of ML engineers and drive improvements in runtime architecture.

Requirements

Essential Skills and Experience

• BS degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 4+ years of experience working with compilers or runtime systems.
• Deep understanding of asynchronous and concurrent programming.
• 4+ years of experience with C/C++ (C++14 or newer).
• Understanding of hardware architecture: vector vs. scalar registers and instructions, memory hierarchies.
• Knowledge of operating system kernel development or hypervisor development.

Preferred Skills and Experience

• Master's or PhD in Computer Science, Computer Engineering, or equivalent.
• Experience developing or maintaining GPU compute libraries such as CUDA or ROCm.
• Experience with GPU programming and optimization.
• Background in high-performance computing (HPC).
• Knowledge of deep learning frameworks such as PyTorch, JAX, or Triton.
• Experience programming large compute clusters.

Why Join Lemurian Labs

• Build the runtime that makes next-generation AI infrastructure actually go fast.
• Work across the full stack - from hardware intrinsics to compiler output to distributed execution.
• Join a team that approaches infrastructure as a canvas, not a constraint.
• Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits.

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.