Neural Network Optimization Engineer, Untether AI
+ Stock options
Faster execution for AI workloads
Open for applications
Faster execution for AI workloads
101-200 employees
Open for applications
+ Stock options
101-200 employees
Company mission
To help companies run AI workloads to run neural networks faster, cooler, and cost-effectively using at-memory computing.
Role
Who you are
- Enthusiastic and knowledgeable about all things “AI”
- 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 bias for teamwork and effective problem solving
- Experience with tuning and optimizing code and Neural Networks for high performance
- Strong communication skill and a background in program / project management
- Superior problem solving skills, both technical and interpersonal
What the job involves
- When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip, collaborating with our hardware engineers and with fellow software engineers in the process
- By creating software that fully realizes the capabilities of the hardware, you will help get AI inference to the general populace
- As part of this exceptional team, you are able to - and get excited by - identifying functional/performance bottlenecks and how to alleviate them in order to achieve scalable and reliable software
- The Neural Network Optimization Engineer addresses the design, development and optimization of leading edge neural networks for our customers
- By using and/or developing our software tools (kernel support, physical allocation placement, etc.), in particular for customer neural nets that require functionality/performance beyond what's available in our standard software releases, they ensure the most effective use of our technology by our customers
- The Neural Network Optimization Engineer understands our products, technology and applications and is an expert in developing neural networks for the world’s highest performance AI accelerator chips
- They will diagnose and address the challenges of real-world uses, resolve them and escalate to appropriate teams as needed
- They will also provide useful feedback from these experiences to our engineering teams to improve existing products and to the CTO/architecture team for input on next gen products
- 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 Neworks 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
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
-1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2021
$125m
SERIES B
Jul 2020
$6.7m
SERIES A
Total funding: $148.5m
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
Articles
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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