Full-Time

Senior Software Engineer

Infrastructure

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

Senior

Toronto, ON, Canada

Hybrid position with in-office presence required.

Category
Backend Engineering
Software Engineering
Required Skills
Bash
Kubernetes
Python
Git
Docker
C/C++
Linux/Unix
Requirements
  • 5+ years of experience in a software development role
  • Experience developing software in C++ and python
  • Experience with C or C++ build systems and tools (CMake or similar)
  • Experience with python packaging infrastructure (pip, wheels, pypi)
  • Proficient in one or more shell scripting languages (bash or similar)
  • Proficient at developing containerized workflows (Docker, Podman, kubernetes)
  • Proficient at developing continuous integration (CI) systems
  • Good understanding of git and github
  • High familiarity with linux systems administration
Responsibilities
  • As a Senior Software Engineer (Infrastructure) at Untether AI, you will engineer the platforms used by developers to do their work and those used by customers to access our software.
  • You will help support software development efforts across multiple teams, develop efficient compilation, testing, and release workflows.
  • To this end you will interface closely with the software teams to design, and implement productive and engaging workflows and processes.
  • You will design, build, and maintain our internal infrastructure including our continuous integration (CI) system, compute farm, and software deployment systems.
  • The types of tools you will be responsible for developing encompasses containers, build systems, installers, and other internal automation scripts and tooling.
  • To manage the systems effectively, you will develop dashboards and reports to monitor and improve the functioning of our internal systems.

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 high performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact 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

13%

1 year growth

19%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Arm targets high-performance, energy-efficient automotive solutions.
  • Recent $20 million funding round supports further hardware development.
  • Partnership with J-Squared opens opportunities in defense and commercial sectors.

What critics are saying

  • Competition from NVIDIA and AMD threatens market share.
  • Rapid AI hardware advancements may render products obsolete.
  • Supply chain constraints could delay product production and delivery.

What makes Untether AI unique

  • Untether AI specializes in at-memory computing for AI inference workloads.
  • Their tsunAImi® accelerator cards deliver over 2 PetaOps per card.
  • Untether AI's architecture maximizes inference output for minimum power.

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