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Full-Time

Formal Verification Engineer

Confirmed live in the last 24 hours

Untether AI

Untether AI

51-200 employees

Enhances AI inference with at-memory computing

Hardware
AI & Machine Learning

Mid, Senior

Toronto, ON, Canada

Category
Control Systems Engineering
Electrical Engineering
Requirements
  • Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.
  • 3+ years' experience with hands-on design verification with 2+ years in formal verification.
Responsibilities
  • Drive Formal Verification Methodology on multiple components inside Custom AI Inference IP. This is not limited to creating and executing verification plan, debugging issues and coverage closure.
  • Evaluating various formal verification technologies and flows.

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, including the runAI200® devices and tsunAImi® accelerator cards, are designed to deliver exceptional performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to process AI workloads more effectively within a compact power envelope. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to optimize their AI applications.

Company Stage

Series B

Total Funding

$165M

Headquarters

Toronto, Canada

Founded

2018

Growth & Insights
Headcount

6 month growth

9%

1 year growth

2%

2 year growth

16%
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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.