Senior Deep Learning Engineer, Untether AI

Salary not provided

Offers stock options

Python

C++

CUDA

OpenGL

PyTorch

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada, US

Faster execution for AI workloads

Open for applications

Faster execution for AI workloads

101-200 employees

B2BArtificial IntelligenceEnterpriseManufacturingMachine LearningSaaS

Open for applications

Salary not provided

Offers stock options

Python

C++

CUDA

OpenGL

PyTorch

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada, US

101-200 employees

B2BArtificial IntelligenceEnterpriseManufacturingMachine LearningSaaS

Company mission

To help companies run AI workloads to run neural networks faster, cooler, and cost-effectively using at-memory computing.

Job

Company

Role

Who you are

Computer Science, Engineering or related degree
5+ years experience, with a healthy amount of both deep learning and software engineering (2+ years each)
Experience with one or more deep learning frameworks (preferably PyTorch and/or ONNX)
Experience working with one or more of the following: CNNs, LSTMs/RNNs, Transformers
Experience reproducing academic work from the field of AI
Strong math background
Strong Python skills
Experience with C/C++ a plus
Enthusiastic about all things AI
Passionate about solving hard problems and pushing the envelope of what is possible
Comfortable with both big picture thinking and in-the-weeds deep dives
Driven, organized and self-directed
Ability to build projects from the ground up
Comfortable working within a rapidly evolving project
Strong focus on testing and software quality
Team focus and desire to help build the team

Desirable

Masters or PhD in Computer Science, Engineering, or related field
Embedded or low-level programming experience
CUDA/OpenGL experience
Experience deploying neural networks to production
Experience with model compression techniques such as quantization, quantization-aware training, knowledge distillation, pruning, etc

What the job involves

We are looking for an experienced Senior Deep Learning Engineer to join our Neural Networks team. The main objective of our team is to make it as seamless as possible for researchers and developers to successfully deploy neural networks to run on our hardware
You will be building tools for our customers to ingest, optimize, and quantize their networks
You will be working with deep learning frameworks at a deep level, modifying and extending backend functionality, and supporting the development of the SDK to produce highly optimized, accurate networks running on our chip
If you want to be working at the bleeding edge of AI, this role is for you!

Our take

Increased use of AI, and the hardware requirements that come with it, have presented a challenge for traditional datacenter compute architectures. Untether AI was launched to help companies run their AI workloads much faster, smoother and without breaking their budget.

The company has developed a unique at-compute chip architecture for neural net inference that eliminates the data movement bottleneck that costs energy and performance in traditional architectures. By having the compute element directly adjacent to memory cells, it accelerates inference for diverse neural networks such as vision, natural language processing and recommendation engines.

With considerable funding at its back, Untether AI is committed to driving customer expansion and continues to develop its next-generation of chip and products, as well as expand its team and partnerships.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-1% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 4 rounds)

Jul 2021

$125m

SERIES B

Jul 2020

$6.8m

SERIES A

Total funding: $148.6m

Company benefits

20 vacation days
Day one health benefits
Unlimited sick days, within reason
Stock options
Building chips and software that will change the world
And… free lunch once a week

Company HQ

Fashion District, Toronto, ON

Leadership

Darrick Wiebe

(Co-Founder)

With experience as a Technology Artist, they went on to Co-Found XN Logic and LightMesh.

Raymond Chik

(Co-Founder)

Co-Founder and Board Chair at Hepzibah and Kapik Integration.

Chris Walker

(CEO & President)

Also Senior Advisor at Cerberus Capital Management. Prior to this, they spent almost three decades at Intel Corporation, including as a VP and GM.

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