Full-Time

Compiler 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

Junior, Mid

Toronto, ON, Canada

Hybrid position based in Toronto.

Category
Embedded Engineering
Software Engineering
Requirements
  • Computer Science, Engineering or related degree, preferably MS or PhD
  • 2+ years of related experience
  • Thorough understanding of deep neural nets
  • Experience developing the internals of modern optimizing compilers
  • Understanding of advanced optimization techniques
Responsibilities
  • Build software that maps a neural net onto our hardware
  • Devise and implement multiple data layout strategies
  • Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies
  • Implement efficient mappings between data layouts
  • Evaluate current and proposed hardware architecture for future products
  • Work closely with algorithm design and architecture teams

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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