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One of the big challenges product manufacturers face is to meet the market demand for battery-operated, always-on, always-sensing products without sacrificing sensing capabilities, maintaining reasonable battery-life, and keeping data secure and local.
Aspinity's novel and patented analog machine learning (ML) solution marks a paradigm shift in the way sensor data is analyzed for a multitude of end-user applications. Just as the brain makes sense of its multi-modal sensory input by focusing higher-order cognition on salient characteristics, Aspinity enables developers to extract "sense" from sensors before the data is even digitized, which reduces power consumption and allows the system to focus higher power compute resources on relevant information. With already established applications to voice control, sound classification, machinery monitoring, and distributed power grid monitoring, Aspinity's programmable analog processing technology is positioned to be the key abstraction layer for the physical world at a time when new user interface paradigms (touch to voice to …) and new monitoring capabilities are transforming industries. Join us as we build this new analogML framework!
POSITION DESCRIPTION
Aspinity is looking to hire an experienced embedded hardware engineer with a focus on developing and deploying low-power, high-performance applications for Aspinity’s revolutionary analog processor solution. You will be responsible to design, develop, and deploy application hardware and reference designs leveraging Aspinity’s analog processor for multiple targeted customer applications.
ROLE & RESPONSIBILITIES:
REQUIREMENTS:
OTHER INFORMATION:
Full Time
$86k-104k (estimate)
07/05/2023
07/02/2024
aspinity.com
PITTSBURGH, PA
<25
2014
Private
NED RENZI
<$5M
Aspinity develops, manufactures and markets analog machine learning processors for wearable health monitoring, IoT, industrial and biomedical markets.