Home Job board Map Alerts Resume

Agent

newgrad.ai

An Agent to start your career. New-grad and intern tech jobs in the US and Canada. Create a free account for the full board.

Jobs Pricing Privacy Terms Cookies Disclaimer Contact

Kernel Engineer (Internship and Full-time) at Tilde Research · San Francisco, CA | newgrad.ai

All jobs

Kernel Engineer (Internship and Full-time)

Tilde ResearchAdded 6d ago

San Francisco, CAInternship

Apply now Save

Save this job and browse the whole board.

Create free account

No credit card needed

AI analysis

ProJev · full posting

Audience

new gradinternnot student

Visa sponsorship

sponsorsnot statedno sponsorship

Class of

2027

Quick summaryby 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

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

Apply on Tilde Research's site.

Apply now

Listing wrong or expired, or you're the employer and want it removed? Let us know.

2026

not stated

Lowest degree

BSMSPhD

US citizens only

yesno

Experience bar

012345

See how Jev reads this posting

Visa sponsorship, class year, degree, citizenship and the experience bar — with how sure it is.

Upgrade to Pro

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.