Compiler Engineer

Slope

San Francisco (CA)

On-site

USD 180,000 - 300,000

Full time

14 days+

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Job summary

Luminal is hiring a Founding Compiler Engineer for an on-site role in downtown San Francisco. You will help shape the core compiler, implement CUDA kernels, and review model performance to accelerate AI pipelines.

As a founding team member, you will contribute to production-grade deployment of AI models, with a focus on high-performance optimization and practical code paths for real-world workloads.

Qualifications

  • Strong proficiency in GPU model optimization.
  • Extensive CUDA experience.
  • Strong Rust programming skills.
  • Egglog knowledge is a strong positive but not required.
  • No degree required.
  • Experience deploying AI models in production is a plus.

Responsibilities

  • Assist the design of the core compiler.
  • Write CUDA kernels for performance-critical paths.
  • Conduct model performance reviews and profiling.
  • Collaborate with the team to deploy AI models in production.

Skills

GPU model optimization
CUDA
Rust
Egglog
No degree required

Education

No degree required

Job description

Qualifications
  • Strong proficiency in GPU model optimization
  • Highly experienced with CUDA
  • Highly experienced with Rust
  • Experience with Egglog is a STRONG POSITIVE but absolutely not required. You will learn
  • No degree required
  • Experience in developing and deploying AI models in production environments is a plus
Company Description

Luminal (YC S25) is focused on optimizing AI models to accelerate and simplify model deployment. We are building an AI compiler that enhances model speeds by 10x and streamlines deployment to production with just a single line of code. Our mission is to turn AI research code into production code, seamlessly.

Role Description

This is a full-time on-site role for a Founding Compiler Engineer located in downtown San Francisco. You will be responsible for assisting the design of the core compiler. Day-to-day tasks will include writing CUDA kernels, conducting model performance reviews.

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