AI Kernel Engineering Intern, Modular

Salary not provided

$47.00 - $65.00 USD per hour + Stock options

Python

C++

CUDA

San Francisco Bay Area

More information about location

2+ days a week in office (Los Altos, CA)

Fast, scalable Gen AI inference platform

Be an early applicant

Fast, scalable Gen AI inference platform

201-500 employees

B2BArtificial IntelligenceMachine Learning

Be an early applicant

Salary not provided

$47.00 - $65.00 USD per hour + Stock options

Python

C++

CUDA

San Francisco Bay Area

More information about location

2+ days a week in office (Los Altos, CA)

201-500 employees

B2BArtificial IntelligenceMachine Learning

Company mission

To have real, positive impact in the world by reinventing the way AI technology is developed and deployed into production with a next-generation developer platform.

Job

Company

Role

Who you are

If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team
Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Math, Electrical Engineering, or a related field
Strong foundation in parallel programming, performance optimization, memory subsystem, or computer architecture
Machine learning fundamentals, AI inference models, and modern AI workloads
Proficiency in Python, C/C++, or any object-oriented languages
Experience with CUDA, or other accelerator programming models is a plus
A publication record is a nice-to-have
Curious, detail-oriented, and excited in a fast-paced startup environment
For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have openings that are lower/higher level than the ones advertised

What the job involves

As an AI Kernel Engineering Intern, you will work at the intersection of AI inference models and cutting edge, high-perform GPU kernels
You will help design, optimize, and benchmark low-level kernels that power modern AI workloads, with a focus on GPUs and emerging accelerators
Projects may include optimizing matrix operations, attention primitives, or custom operators; analyzing memory layouts and data movement; and collaborating with others to translate models into efficient, production-ready implementations
You will gain hands-on experience with the internals of AI frameworks and hardware-aware optimization
This includes understanding how deep learning operators map to GPU architectures, writing and tuning GPU kernels, and using profiling tools to identify performance bottlenecks
You’ll also learn best practices for performance-critical code, numerical correctness, and collaborating across teams to deliver impactful improvements

Our take

AI development is booming, but the tools behind it? Not so much. Developers are often stuck dealing with messy, disconnected systems that slow everything down and bump up costs.

To address this, Modular has developed a unified AI platform that streamlines the development process. It's AI Engine enhances the performance of models on CPUs and GPUs, supporting popular frameworks like TensorFlow and PyTorch. And on top of that, it's built Mojo, a programming language that's as easy as Python but much faster (35,000 times faster).

In 2023, the company raised an impressive $100M to power its mission. It's been using this funding to grow its team, support more hardware, and push Mojo even further. With the hopes of making AI development faster, smoother, and a whole lot more fun for everyone.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Sep 2025

$250m

LATE VC

Aug 2023

$100m

LATE VC

Total funding: $380m

Company benefits

A variety of fantastic health benefits (health, dental, vision insurance; life insurance etc) are available
A 401k plan with up to 5% match
Free tax advice on Carta
Generous work-from-home stipend of $1500 to help you improve your home office
Unlimited paid time off and flexible work hours

Leadership

Chris Lattner

(Co-Founder & CEO)

Founder, Architect, Engineer and BDFL for the LLVM Organization. Former President of Engineering and Product at SiFive, as well as working in various roles at Google, Tesla, and Apple.

Tim Davis

(Co-Founder & President)

Worked at Google for 5 years, ultimately as Group Product Lead for Google ML. Previously founded Fluc Inc, where they developed the entire ML powered delivery system with their co-founder, and mapping software system CrowdSend.

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