Full-Time

Staff Product/Test/Validation 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

Senior, Expert

Toronto, ON, Canada

This is a hybrid position, which implies that the candidate will be required to work in-office for part of the week.

Category
QA & Testing
Manual Testing
Quality Assurance
Required Skills
Python
C/C++
Linux/Unix

You match the following Untether AI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s or Master's degree in Electrical or Computer Engineering
  • 8+ years of Product and Test Engineering on VLSI silicon
  • Excellent oral and written communication skills
  • Understanding of CPU/GPU type products
  • Experience with ATE Hardware & Test Program analysis
  • Ability to review and analyze schematics
  • Experience with Product Reliability Qualification
  • Statistical analysis skills - JMP, Spotfire, etc.
  • ATE test experience - STDF Data manipulation
  • Methodology & Automation
  • Python, Make, c++ or equivalent programming language for script writing
  • Knowledge of Unix/Linux development environment
Responsibilities
  • Introduce new products to volume manufacturing
  • Define and develop dashboards or scripts to quickly analyze incoming data
  • Develop and drive and analyze all aspects of silicon reliability and qualification activities
  • Develop and drive vendors to generate required hardware and software needed for the silicon manufacturing environment.
  • Responsible for creating needed documentation and dashboards
  • Performing System Level Testing of high performing AI chips
  • Establish yield tracking, yield enhancement and cost reduction infrastructure

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 offering 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 enhance their AI applications.

Company Stage

Series B

Total Funding

$144.6M

Headquarters

Toronto, Canada

Founded

2018

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Arm targets energy-efficient solutions for automotive applications.
  • $20 million funding supports development of machine learning inferencing hardware.
  • Partnership with J-Squared opens opportunities in defense and commercial sectors.

What critics are saying

  • Emerging competition in energy-efficient AI hardware could threaten market position.
  • Rapid AI model evolution may outpace current hardware capabilities.
  • Supply chain vulnerabilities in semiconductor components could impact production timelines.

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.
  • The imAIgine SDK enhances developer velocity with flexible kernels for neural networks.

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Benefits

Paid Vacation

Health Insurance

Unlimited Paid Time Off

Stock Options