Embedded Software Engineer

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.

Responsibilities

1. Introduce innovative AI Collision Prevention Systems tailored for the mining, construction, and industrial sectors.
2. Develop and implement SAFEYE, a system that accurately discerns between pedestrians and machinery, issuing timely alerts to prevent mishaps.
3. Utilize meticulous scanning capabilities and ensure real-time notifications to reduce fatalities and injuries in industrial environments.
4. Serve as a cornerstone in risk management, protecting lives and assets.
5. Contribute to the development of scalable Deep Learning Technologies renowned for detection precision.

Position: Embedded Software Engineer

Our client, a leader in bespoke AI Collision Prevention Systems, is seeking an Embedded Software Engineer to join their team and advance industrial safety measures.

Minimum Qualifications

• Education: BEng in Electronic Engineering
• Experience: At least 2 years in embedded systems development

Key Skills and Responsibilities

• Develop built-in self-testing protocols for proximity detection systems used in mining.
• Utilize stereoscopic AI cameras to enhance detection capabilities.
• Design and implement a custom STM32 boot loader using serial communication for over-the-air flashing.
• Engage in Python software development tailored for embedded devices.
• Collaborate with clients to understand and meet their specifications.
• Contribute to process improvements and seamless organizational implementation.

Apply now to join this innovative team and contribute to advancing industrial safety!