General Summary:
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Mobile and Industrial IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm’s diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike.
Primary Responsibilities
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.
Preferred Skills and Experience
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
· Experience with developing computer vision applications.
· 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
#EdgeImpulse
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ 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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