# Kernel Engineer (Internship and Full-time) at Tilde Research

- Company: [Tilde Research](https://tilderesearch.com)
- Location: San Francisco, CA
- Type: Internship · Internship
- Posted: 2025-07-14
- Apply: https://jobs.ashbyhq.com/tilderesearch/bc4e4071-cf64-4460-8265-b1e5a603d6b8
- Page: https://newgrad.ai/jobs/kernel-engineer-internship-and-full-time-f99ef140

## Summary by newgrad.ai

What you'll do:

- Design, implement, and optimize high-performance GPU kernels for training and inference
- Collaborate with ML researchers to co-design performance-aware models and infrastructure
- Contribute to system-wide efficiency improvements beyond kernel-level optimizations

What they're looking for:

- Deep learning or related research experience with demonstrated ML kernel capabilities
- Strong proficiency in PyTorch, Triton/TK/TileLang; basic CUDA and GPU architecture knowledge
- Clear communication skills, strong algorithmic thinking, and quick learning ability
- Portfolio evidence: open source contributions, technical writing, or hardware-aligned algorithm work

## Posting

Tilde Research is a moonshot AI lab advancing mechanistic interpretability, new architectures, and pretraining science. We build foundational understanding of models to advance the frontier of intelligence.

### About the role

As a Kernel Engineer at Tilde, you'll design, implement, and optimize high-performance GPU kernels that are critical to scaling our training and inference workloads. Your work will enable faster iteration cycles, higher throughput, and lower latency. You'll work closely with ML researchers and engineers to co-design models and infrastructure that are deeply performance-aware, and help push the limits of what current hardware can support.

### What you might work on

- Design, develop, and tune custom GPU kernels for core model operations
- Work with ML engineers to prototype and scale novel model architectures
- Contribute to system-wide efforts to improve efficiency and throughput, beyond just kernel-level optimizations

### You're a good fit if you

- Have experience in deep learning or related research areas
- Have demonstrated exceptional capability in working on ML kernels. This can include:
- Strong open source contributions
- Thoughtful technical blog posts/work logs
- Previous experience working on hardware-aligned algorithms
- Deep familiarity with PyTorch, Triton/TK/TileLang (>1 of), basic familiarity with CUDA, and knowledge of GPU architecture.
- Communicate clearly and effectively, both verbally and in writing
- Strong algorithmic thinker
- Are able to learn quickly

From Tilde Research's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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