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 for a Characterization Test Engineer to focus on characterization and testing of ultra-low power analog product, including analog blocks and sensor interface circuits. Job responsibilities include development of measurement methodology and plan, implementation of test programs, testing with lab equipment, analysis of results, and root cause analysis of failures. In this position, you will have a unique and exciting opportunity to use your design, debug, and verification skills to test, verify and validate unique non-linear analog products. You will architect and develop test methodologies and flows for testing components, devices, and systems, and in return, you will gain valuable hands-on experiences as part of your career development.
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About Aspinity
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