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A leading company in AI Collision Prevention Systems is seeking an Embedded Software Engineer in South Africa, Gauteng. You will develop built-in self-testing protocols and utilize AI cameras to enhance detection capabilities. The ideal candidate has a BEng in Electronic Engineering and at least 2 years of embedded experience. This role offers an opportunity to contribute to significant safety advancements in industrial environments.
Reference : NES
ZAN-1 Become part of a pioneering group transforming industrial safety through cutting-edge AI Collision Prevention Systems, placing the utmost emphasis on safeguarding pedestrians and workers through unparalleled detection precision.
Introducing my client, a trailblazer in bespoke Artificial Intelligence Collision Prevention Systems tailored for the mining, construction, and industrial sectors, committed to enhancing pedestrian and worker safety.
Their groundbreaking creation, SAFEYE, sets them apart by accurately discerning between pedestrians and machinery, issuing timely alerts to avert mishaps. With its meticulous scanning capabilities and instantaneous notifications, SAFEYE plays a pivotal role in reducing fatalities and injuries within industrial environments. Recognizing the gravity of accidents, this system serves as a cornerstone in risk management, protecting both lives and valuable assets. As a leading provider of Deep Learning Technologies, my client offers scalable solutions renowned for their precision in detection.
They are currently seeking an Embedded Software Engineer to join their dynamic team and contribute to their ongoing mission of advancing industrial safety measures.
BEng in Electronic Engineering
Apply now!