Engineering · Pittsburgh, United States
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 hiring a software developer to create a development platform for a family of custom processors that will be the physical abstraction layer for Smart Homes, Industrial IoT, and Consumer Electronics products. You will define how our software ecosystem enables application developers to solve power and data challenges for these products. You will be responsible for creating a new software development kit to interact with these custom Aspinity processors. You will also be responsible for the deployment of internal and external software tools and a development environment in support of Aspinity’s efficient processor solutions.
Our ideal candidate has developed and maintained programming tools for hardware, IoT, or signal processing/data analytics applications and has architected complex production code projects.
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