Edge Impulse
Edge Impulse is the leading edge AI development platform that empowers users to bring intelligence to any edge device. It accelerates the delivery of next-generation products and solutions by unlocking sensor data and streamlining the development process. By providing tools for model optimization and algorithms, Edge Impulse enables faster commercialization and reduces complexities in deploying AI solutions at the edge.
Machine Learning • Artificial Intelligence • Embedded Computing • MLOps • DevOps
Embedded Linux Software Developer
March 13
Edge Impulse
Edge Impulse is the leading edge AI development platform that empowers users to bring intelligence to any edge device. It accelerates the delivery of next-generation products and solutions by unlocking sensor data and streamlining the development process. By providing tools for model optimization and algorithms, Edge Impulse enables faster commercialization and reduces complexities in deploying AI solutions at the edge.
Machine Learning • Artificial Intelligence • Embedded Computing • MLOps • DevOps
📋 Description
• 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
🎯 Requirements
• 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. • Proven experience delivering technical projects on embedded processors using an understanding of: Processor architecture and peripheral control • Embedded development tools (GCC, Make, CMake) • Debugging tools • Operating systems (like Embedded Linux and Android) targeted for embedded devices • Experience with developing computer vision applications. • Exposure to the following technologies would be useful: Embedded Machine Learning, GStreamer, OpenCV, Buildroot / Yocto distributions, Linux Kernel and/or Linux driver development
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