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Argmax

Open-source on-device AI inference platform

On-device AI Frameworks Engineer Intern

Mobile EngineeringConfirmed live in the last 24 hours
Internship · Fall 2026No salary listed

About the Job

Requirements

  • 3-6 months of hands-on experience in SDK or Frameworks development for iOS or Android
  • Familiarity with Swift OR (Kotlin AND C++)
  • Familiarity with profiling and optimizing mobile application

Responsibilities

  • Contribute to SDK and Frameworks implementation: You will help implement new model support ([example](https://www.argmaxinc.com/blog/nvidia-frontier-speech-models-on-argmax-sdk)) and new features ([example](https://www.argmaxinc.com/blog/customize-speech-to-text)) as Argmax SDK grows. You will observe and learn from senior engineers at Argmax as they design the implementation spec that you will work on.
  • Respond to customer issues:You will be one of the first at Argmax to review customer issue reports, ask for supporting information, reproduce the issue, root-cause the issue, and finally propose viable workarounds as well as permanent fixes. Senior engineers at Argmax will support your growth as you learn to tackle this critical responsibility autonomously over time.]
  • desirable-manual-overrode

About the Company

Argmax

Open-source on-device AI inference platform

Argmax builds an open-source platform and SDK to deploy foundation AI models on user devices, enabling on-device inference for privacy-friendly, real-time, offline AI. It offers FMOD (Foundation Models On Device) with toolkits like WhisperKit Pro for speech-to-text and speaker recognition and DiffusionKit Pro for diffusion models, designed to run on devices ranging from modern to older smartphones and tablets. The company differentiates itself through founders with deep Apple-on-device inference experience, a clear focus on per-device pricing and unlimited usage plans for developers and enterprises, and an emphasis on privacy, security, and predictable costs compared to cloud-based AI. Its goal is to accelerate the adoption of on-device AI by providing production-ready edge AI tooling that performs well on-device and can be deployed across various industries.

Company size
11-50
Company stage
Seed
Total funding
$8M
Headquarters
Palo Alto, CA
Founded
2023

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