Compiler Engineer

Alexander Chapman Ltd; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Top of the market equity

Job summary

Alexander Chapman Ltd in San Francisco seeks a Founding Compiler Engineer to build the core AI compiler, optimize GPU workloads, and influence the product architecture at the founding-engineer level.

You will write high-performance CUDA kernels, push performance limits of AI models, and collaborate directly with the founding team to shape the product direction.

Qualifications

• Strong proficiency in GPU model optimization.
• Hands-on CUDA and GPU kernel development experience.
• Strong Rust programming skills.
• Interest in compilers and low-level systems.
• Shown compiler-related achievement (internship/open-source/personal project).
• Open to junior engineers; exceptional ability matters more than years of experience.
• Impressive work on compilers or GPU optimization through internships or projects.

Responsibilities

• Design and build the core of an AI compiler from the ground up.
• Write high-performance CUDA kernels to optimize GPU workloads.
• Analyze AI model performance and identify speedups.
• Develop compiler optimizations for simpler deployment and efficiency.
• Collaborate with founding team to shape technical direction.

Skills

GPU model optimization

CUDA kernel development

Rust programming

Compiler research/low-level systems

Notable compiler-related achievement

Willingness to hire junior engineers

Impressive work in compilers/GPU ops

Tools

egglog

Job description

I'm working with an early-stage AI infrastructure startup building a new approach to AI compilation and inference optimization, and we're looking for a Founding Compiler Engineer to help build the core technology. The goal is ambitious: make AI models dramatically faster and easier to deploy, turning research code into production-ready implementations with minimal overhead.

Responsibilities

• Designing and building the core of an AI compiler from the ground up.
• Writing high-performance CUDA kernels to optimize GPU workloads.
• Analyzing AI model performance and identifying opportunities for significant speedups.
• Developing compiler optimizations that make model deployment simpler and more efficient.
• Working directly with the founding team to shape the technical direction of the product.

Required Skills

• Strong proficiency in GPU model optimization.
• Deep hands-on experience with CUDA and GPU kernel development.
• Strong Rust programming skills.
• A genuine interest in compilers, low-level systems, and squeezing maximum performance out of AI workloads.
• A standout compiler-related achievement through an internship, open-source contribution, or personal project.
• Junior engineers are encouraged to apply. We're more interested in exceptional technical ability and what you've built than years of experience.
• If you've done impressive work on compilers, GPU optimization, or low-level systems through an internship, open-source project, or personal project, we'd love to hear from you.

Preferred Skills

• Experience deploying AI models in production is a plus, but not essential.
• Experience with egglog or equality-saturation-based optimization is a strong bonus, not a requirement.

Pay range and compensation package

• Base Salary: up to $250K
• Top of the market equity

About the Role

Why consider it? This is an opportunity to join at the founding-engineer level, work directly on the core compiler, and have significant influence over the architecture of a product tackling some of the hardest problems in AI performance. If you enjoy working close to the metal, writing fast kernels, and pushing the limits of GPU performance, I'd love to connect.