Senior AI Framework Engineer, Modular

$180-324k

The estimated base salary range for this role to be performed in Canada, regardless of the province, is $172,400.00–$258,700.00 CAD. + Target bonus and equity for all

Python

Tensorflow

C++

Rust

PyTorch

Senior and Expert level

Los Angeles

Remote from Canada, US

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

$180-324k

The estimated base salary range for this role to be performed in Canada, regardless of the province, is $172,400.00–$258,700.00 CAD. + Target bonus and equity for all

Python

Tensorflow

C++

Rust

PyTorch

Senior and Expert level

Los Angeles

Remote from Canada, US

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

Significant experience designing and evolving developer-facing APIs (SDKs, frameworks, or platforms)
Strong understanding of modern AI frameworks and their design tradeoffs (e.g., PyTorch, JAX, TensorFlow, vLLM, XLA/MLIR-adjacent ecosystems)
Experience with inference and training systems (model execution graphs, compilation, runtime scheduling, distributed execution, checkpointing, performance tuning)
Fluency in one or more systems / performance languages (C++, Rust, Go) and one or more user-facing languages (Python; familiarity with Mojo is a plus)
Excellent taste for API ergonomics: naming, composability, types, error handling, configurability, and clarity
Strong written communication: you can write specs that engineers can implement without ambiguity
High engineering standards, pragmatism, and a bias towards incremental development without compromising long term design
For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply, as we may have openings at lower or higher levels than the one advertised

What the job involves

At Modular, we are building a next generation AI platform to power modern applications and facilitate access to cutting-edge hardware
The MAX Framework is our developer-facing layer: it defines the APIs developers use to express models, integrate custom kernels, orchestrate execution, iterate on quality and ship systems into production
As an Senior AI Framework Engineer for MAX, you will own and evolve core APIs and developer experience for inference and training of AI models
You will work at the intersection of API design, systems engineering, and modern AI frameworks
Your output will be the specifications, abstractions, and reference implementations that make MAX feel coherent, powerful, and intuitive to use — while preserving performance, portability, maintainability and TCO
Influence the design of the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees and developer experience
Design inference APIs that support real-world serving needs: model loading, distributed inference, quantization, tokenization/pipelines, configuration surfaces, batching/streaming, and deployment-oriented ergonomics
Design training APIs that scale from single device to distributed execution, with clear primitives for device placement, parallelism, checkpointing, and observability
Create a coherent programming model across Python and Mojo-adjacent surfaces: align naming, types, and conventions; avoid leaky abstractions; define the "pit of success"
Drive RFCs and technical specs: write and socialize proposals; gather feedback from internal model engineers and external users; iterate towards consensus
Partner cross-functionally with compiler/runtime, kernels, cloud/serving, and documentation/DevRel teams to ensure APIs map cleanly to underlying capabilities
Build reference implementations and exemplar code: golden-path examples, architecture templates, and best-practice patterns that teams can copy
Set quality bars for APIs: versioning policy, deprecation strategy, test strategy, and documentation requirements

Application process

Onboarding for new hires is conducted in-person in our Los Altos, CA office

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 2025, the company raised an impressive $250M to power its mission. It's been using this funding to grow its team, support more hardware, and push Mojo even further. Ultimately, Modular hopes to make 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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