Cloud AI Technical Writer, Modular

$135-204k

+ Stock options & target bonus. Salary range for this role in Canada is $128,000.00 - $193,000.00 CAD

AWS

Docker

Kubernetes

GCP

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

Remote from Canada, US

More information about location

Fast, scalable Gen AI inference platform

Open for applications

Fast, scalable Gen AI inference platform

201-500 employees

B2BArtificial IntelligenceMachine Learning

Open for applications

$135-204k

+ Stock options & target bonus. Salary range for this role in Canada is $128,000.00 - $193,000.00 CAD

AWS

Docker

Kubernetes

GCP

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

Remote from Canada, US

More information about location

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

We’re looking for somebody with experience writing documentation for cloud services or other AI infrastructure who can help us create the best possible documentation for new cloud products
You should be comfortable writing code and troubleshooting nascent technology, but above all else, you should be obsessed with writing the best possible docs and building the best possible user experience
You make complex topics easy to understand, using simple language and thoughtfully designed pages, and you help improve the product instead of working around its flaws with more documentation
5+ years experience writing technical docs for software engineers
Experience using cloud platforms and related technologies, such as AWS, Azure, GCP, Kubernetes, Docker, etc
A strong understanding of major AI/ML tools and concepts, including PyTorch, LLMs, vLLM, fine-tuning, etc
Excellent writing skills, including the ability to describe complex concepts and procedures both clearly and concisely
A knack for effective document design—you’re allergic to “walls of text” and you know how to make pages inviting and easy to scan
A strong curiosity and desire for personal growth, with an attitude that seeks to learn through personal exploration and from our customers, team, and industry
What Modular brings

What the job involves

Modular is building a next-generation AI platform that provides unmatched inference speed, hardware portability, and model extensibility
It’s a ground-up re-thinking of the infrastructure so developers can build and deploy GenAI on a wide range of hardware (CPUs, GPUs, and more) without vendor lock-in—no CUDA required
Now that we’ve built the foundation of the infrastructure, we’re expanding into the cloud so users can easily deploy and manage AI applications powered by Modular
Collaborate with the product and engineering teams to define the user experience and identify issues that should be either fixed or documented
Experiment with new tools to deploy AI models in the cloud, and then smooth out any friction and proactively answer any questions users might have
Write developer guides, concept guides, help docs, tutorials, and other documentation for developer tools and services
Maintain existing documentation, including revising documentation to ensure they’re correct, complete, and clear
Review the writing of others across various channels (blog posts, marketing pages, developer docs, etc.) to ensure consistent terminology and style

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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