Untether AI
Engineering · Full-time · CA, United States
We are looking for best in class engineers to join our existing top-notch team. 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. You excel in an environment with complex software and hardware designs.
Please note: While our engineering HQ is in Toronto, this is a remote opportunity and we welcome applicants from anywhere in North America.
We are looking for algorithm and optimization experts to help unlock the potential of Untether AI’s unique spatial compute architecture. In this role, you would develop efficient solutions to the hard graph optimization problems involved in allocating chip resources for neural network inference acceleration. These challenges include graph partitioning, scheduling, and place and route optimization. Additionally, you would develop profiling and visualization tools and collaborate with other teams in identifying performance bottlenecks and conceiving creative solutions.
Requirements
Preferred Skills & Experience
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Untether AI
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Untether AI was founded in 2018, and is developing ultra-efficient, high-performance AI chips to enable new frontiers in AI applications. By combining the power efficiency of near-memory design with the robustness of digital processing, Untether AI has developed a groundbreaking new chip architecture for neural net inference that moves data 1,000 times faster.
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