Reference: NES018066-ZAN-1Become 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.Duties & ResponsibilitiesIntroducing 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.EducationBEng Electronic EngineeringJob Experience & Skills Required2 years of embedded experience.Develop built-in self-testing protocols for proximity detection systems used in the mining industry.Utilize stereoscopic AI cameras to enhance proximity detection capabilities.Design and implement a custom STM32 boot loader using serial communication for flashing via an over-the-air link.Engage in Python software development tailored for embedded devices.Collaborate with clients to understand specifications and address requirements effectively.Contribute to the enhancement of company processes and ensure seamless implementation across the organization.Apply now!
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