Full-Time

Staff Software Engineer

Modeling and Architecture

Posted on 10/16/2024

Untether AI

Untether AI

51-200 employees

Enhances AI inference with at-memory computing

Hardware
AI & Machine Learning

Senior

United States

Hybrid position requiring in-office presence.

Category
Embedded Engineering
Software Engineering
Required Skills
C/C++
Requirements
  • Computer science, engineering or related degree
  • 5+ years of experience
  • Creative problem solver, passionate about solving hard problems
  • Strong C++ development skills required
  • Working hardware knowledge (architecture, circuits, RTL)
  • Experience with tuning and optimizing code for high performance
Responsibilities
  • Writing high performance, production quality C++ simulation models
  • Collaboratively, with the CTO office, exploring next gen silicon architecture innovations
  • Working closely with our HW design team both to model what they are building and validate that our HW designs match the architectural intent

Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places the compute element next to memory cells, which boosts compute density and accelerates AI inference for various neural networks, such as those used in vision, natural language processing, and recommendation systems. The company targets businesses that rely on AI technologies and need high-performance computing for inference tasks. Their products include the runAI200® devices and tsunAImi® accelerator cards, which are designed to deliver exceptional performance, with the tsunAImi® card providing over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact PCI-Express form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to improve their AI application performance.

Company Stage

Series B

Total Funding

$144.6M

Headquarters

Toronto, Canada

Founded

2018

Growth & Insights
Headcount

6 month growth

10%

1 year growth

20%

2 year growth

23%
Simplify Jobs

Simplify's Take

What believers are saying

  • Untether AI's recent $20 million funding round and total funding of over $200 million CAD indicate strong financial backing and growth potential.
  • The appointment of industry veterans like Chris Walker as CEO and Renxin Xia as VP of Hardware Engineering brings experienced leadership to drive innovation and market expansion.
  • The release of the imAIgine SDK version 22.12 enhances developer velocity, making it easier and faster to deploy neural networks on Untether AI's hardware.

What critics are saying

  • The highly competitive AI hardware market requires continuous innovation to maintain a technological edge.
  • Dependence on hardware sales could be a vulnerability if market demand shifts or new, more efficient technologies emerge.

What makes Untether AI unique

  • Untether AI's at-memory computing architecture significantly enhances compute density and efficiency, setting it apart from traditional AI inference solutions.
  • The company's tsunAImi® accelerator cards deliver over 2 PetaOps per card, offering unparalleled performance in a PCI-Express form factor.
  • Collaborations with industry giants like Arm and J-Squared Technologies highlight Untether AI's commitment to integrating cutting-edge technology into diverse applications, from automotive to defense.

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