Our embedded engineering team enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. We believe that machine learning will enable the valuable use of the 99% of sensor data that is currently discarded due to cost, bandwidth or power constraints. Our framework provides data ingestion, labeling, training, and deployment capabilities to accelerate developer success with ML on the edge. Expand the fleet of embedded edge devices that support machine learning Develop code that enables Edge Impulse Machine Learning onto embedded devices using modern software development and deployment tools Connect sensors (image, audio, motion) to Edge Impulse applications Develop algorithms for data / image processing Improve / develop tooling that connects an embedded system to a larger system Drive solutions forward with an ownership mindset working effectively both independently and as a member of a distributed team Experience as bringing creative solutions to challenging problems and working hands-on to build IoT / embedded ML solutions A minimum of 7 years of experience in embedded software development Proficient writing code in C/C++ and familiarity with Python, Typescript, shell, and other scripting languages. o Processor architecture and peripheral control o Embedded development tools (GCC, Make, CMake) o Debugging tools o Operating systems (like Embedded Linux and Android) targeted for embedded devices Exposure to the following technologies would be useful o Embedded Machine Learning o GStreamer o OpenCV o Buildroot / Yocto distributionsLinux Kernel and/or Linux driver development Academic Credentials Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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