Mojo Technical Writer, Modular

$135-204k

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

Python

Scala

Kotlin

Swift

C++

Rust

Julia

Senior and Expert level

San Francisco Bay Area

Remote from Canada, US

More information about location

Fast, scalable Gen AI inference platform

Job no longer available

Fast, scalable Gen AI inference platform

201-500 employees

B2BArtificial IntelligenceMachine Learning

Job no longer available

$135-204k

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

Python

Scala

Kotlin

Swift

C++

Rust

Julia

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 who can quickly learn new programming concepts and new developer tools, and then teach them to others with clear and concise documentation
You should have experience writing code examples and documentation for an advanced engineering audience
On the spectrum between a pure writer and an engineer, you’re strong on the engineering side. You must be comfortable writing code and diving deep into new and unfamiliar technologies
5+ years experience with more than one language such as Python, C, C++, Swift, Rust, Julia, Zig, Kotlin, Scala, or similar
3+ years experience writing tutorials, API references, and other documents for software engineers
Strong written and verbal communication skills, including the ability to explain complex technical concepts in simple language
Strong research and analytical skills, including the ability to gather and organize information from a variety of sources
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 the job involves

Modular is building a next-generation AI platform that provides unmatched inference speed, hardware portability, and model extensibility. A key component of our stack is Mojo, a new programming language that targets diverse hardware—CPUs, GPUs, and other accelerators—using Python's intuitive syntax combined with modern systems programming capabilities
Read and write Mojo code to develop a strong understanding of the language features, APIs, developer tools, and user needs
Work closely with the Mojo engineering team to understand new language features, APIs, and tools
Write code examples, programming guides, tutorials, and other documentation about the Mojo language and API libraries
Maintain and update existing code examples and documentation, including editing and revising documentation to ensure completeness, correctness, and clarity
Collaborate with other technical writers on large documentation sets, using a shared structure and style guide

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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