Full-Time

Neural Network Optimization 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

Toronto, ON, Canada + 1 more

More locations: Kitchener, ON, Canada

This is a hybrid position, which implies that the candidate will be required to work in-office some days.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Neural Networks
Data Structures & Algorithms
C/C++

You match the following Untether AI's candidate preferences

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

Degree
Experience
Requirements
  • Computer Science, engineering, or related degree
  • At least 5 years of software development experience, specifically in AI
  • Knowledge of Neural Network basic operator algorithms - Convolutions, Transformers, RNNs
  • Experience with end to end software development, specifically data structures and algorithms, experience with software architecture patterns, etc.
  • Experience working in cross-functional teams
  • Strong communication skill and a background in program / project management
Responsibilities
  • Use and advance our products in the development and delivery of leading edge customer neural networks and applications
  • Understand and evaluate neural network performance at a chip, system and application level through performance profiling and benchmarking
  • Identify/diagnose challenges in using our products for specific use cases and define and develop projects to resolve them
  • Engage with the Customer Networks Lead on any escalations to the software and hardware team
  • Actively engage with customers to ensure they feel supported by Untether AI post sale and delivery of the product
  • Partner with the Products team to ensure they are up to date on client experiences and their feedback so that interactions with customers appear seamless
  • Management of program / project teams to deliver Neural Network Model Garden Models including the identification, design and implementation of C++ low-level flexible programs (kernels) for various neural net operations
  • When required development of complexed kernels and compiler strategies to address the network requirements
  • Communicate performance optimization ideas both to compiler/kernel engineers and to architects working on future product generations
Desired Qualifications
  • Enthusiastic and knowledgeable about all things “AI”
  • Experience with tuning and optimizing code and Neural Networks for high performance
  • Strong bias for teamwork and effective problem solving
  • Superior problem solving skills, both technical and interpersonal

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 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 Size

51-200

Company Stage

Series B

Total Funding

$144.6M

Headquarters

Toronto, Canada

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Arm enhances solutions for ADAS and AV applications in the automotive sector.
  • $20 million funding supports ongoing development of machine learning inferencing hardware.
  • Partnership with J-Squared opens new 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 require frequent hardware updates and innovations.
  • Supply chain vulnerabilities in semiconductor components could impact production timelines.

What makes Untether AI unique

  • Untether AI's at-memory computing maximizes AI inference efficiency and speed.
  • The tsunAImi® accelerator card delivers over 2 PetaOps per card, optimizing AI workloads.
  • Untether AI's imAIgine SDK allows rapid deployment of neural networks with flexible kernels.

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Benefits

Paid Vacation

Health Insurance

Unlimited Paid Time Off

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

1%
Business Wire
Apr 16th, 2024
Untether Ai Announces Collaboration With Arm To Deliver High Performance, Energy-Efficient Solutions

TORONTO--(BUSINESS WIRE)--Untether AI, the leader in energy-centric AI inference acceleration, today announced a collaboration with Arm to develop best-in-class solutions optimized for next-generation automotive applications. As part of this collaboration, Untether AI will enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced (AE) technology from Arm, to create solutions that address performance, power, safety, and security requirements for advanced Driver Assistance Systems (ADAS) and autonomous vehicle (AV) applications. Compute workloads radically changed in the past several years with the deployment of AI and the increasing complexity of AI and conventional software algorithms has elevated the demand for heterogeneous computing platforms employing domain-specific architectures. This trend, which is especially true in the automotive sector, results in an ideal computing platform that combines a mix of CPUs, AI accelerators, memory, and networking technologies that have been optimized for neural network acceleration and software-defined vehicles (SDV). “The increase in advanced user experiences, ADAS, and AV applications means more heterogeneous compute is needed in the vehicle,” said Suraj Gajendra, vice president of products and solutions, Automotive Line of Business, Arm. “By collaborating with Untether AI to ensure our leading-edge AE technology can work well alongside Untether AI’s acceleration capability, we are enabling our partners to power cutting edge AI workloads across the vehicle.”

BetaKit
Apr 16th, 2024
Untether Ai To Collaborate With Semiconductor Giant Arm On Smart Vehicle Solutions

Untether says its energy efficient architecture is needed to support next-gen vehicles

Business Wire
Mar 25th, 2024
Untether AI and J-Squared Unveil Groundbreaking AI-Enabled Rugged PC Chassis at AUSA

"J-Squared Technologies is proud to partner with Untether AI to deliver a solution that meets the rigorous demands of both defense and commercial applications," said Andrew Woollard, Chief Technical Officer at J-Squared Technologies.

6JJ Michigan BB Inns
Jan 19th, 2024
Untether AI raises $20 million to develop machine learning inferencing hardware_best bank stocks to buy in india

Untether AI raises $20 million to develop machine learning inferencing hardware_best bank stocks to buy in india.

BetaKit
Jan 5th, 2024
Untether AI names Intel veteran Chris Walker as its new CEO

To date, Untether AI has raised more than $200 million CAD ($152 million USD) in funding from a group that includes Intel, Tracker Capital, the Canada Pension Plan Investment Board, and Radical Ventures.