Senior Multi-Target Runtime Engineer for AI Stack

Lemurian Labs Inc.

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

4 days ago
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Benefits offered by this job

Equity
Medical/Dental/Vision
Retirement savings plan
Wellness benefits

Job summary

Lemurian Labs Inc. in Santa Clara, CA, is hiring a Runtime Engineer to design and build the multi-target runtime at the heart of our AI compiler stack.

This is a systems role focused on low-level parallelization, kernel scheduling, performance analysis, and cross-team collaboration to push AI hardware boundaries. You’ll work with compiler and product teams to optimize execution across diverse targets.

Qualifications

  • BS degree in Computer Science, Computer Engineering, 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).
  • Understanding of hardware architecture and memory hierarchies.
  • Knowledge of OS kernel or hypervisor development.

Responsibilities

  • Design, develop, maintain, and improve our multi-target runtime.
  • Apply parallelization and partitioning techniques to optimize kernel execution paths.
  • Prototype and data-drive exploration of new runtime ideas.
  • Benchmark and analyze compiler outputs on target hardware.
  • Build tools to collect and analyze performance bottlenecks.
  • Collaborate with product teams to meet ML engineer needs and evolve runtime architecture.

Skills

Compiler construction
Runtime systems
Asynchronous programming
C/C++
Parallelization
Kernel scheduling
Performance analysis

Education

BS in CS/CE
Master's/PhD (preferred)

Tools

CUDA
ROCm

Job description

Lemurian Labs Inc. in Santa Clara, CA, is hiring a Runtime Engineer to design and build the multi-target runtime at the heart of our AI compiler stack.

This is a systems role focused on low-level parallelization, kernel scheduling, performance analysis, and cross-team collaboration to push AI hardware boundaries. You’ll work with compiler and product teams to optimize execution across diverse targets.

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