Staff Product/Test/Validation 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
- We are looking for an experienced NPI Product/Test Engineer that has gone through bringing a product from concept to full production
- The successful candidate will be organized and self-directed, and comfortable working within a rapidly evolving project environment
- The ideal candidate will be working as a product engineer with exposure to bench validation activities
- 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
What the job involves
- When you join Untether AI, you will be part of the team that creates innovative hardware and delivers industry leading AI performance and efficiency. Utilizing non Von Neumann techniques, you will help propel sustainable AI inference
- As part of this talented team of engineers, you are able to - and are excited to - architect, implement, verify and productize custom hardware designs
- Being on our team means collaborating with an extremely bright group of people while tackling tough and interesting problems at the intersection of AI and hardware
- 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
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
Company
Funding (last 2 of 4 rounds)
Jul 2021
$125m
SERIES B
Jul 2020
$6.6m
SERIES A
Total funding: $148.4m
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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