Embedded Software Engineer

Network Engineering; Gauteng; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading technology firm located in Gauteng, South Africa is seeking an experienced engineer to develop AI collision prevention systems targeting the mining sector. The role involves developing self-testing protocols, using AI cameras, and engaging in Python development for embedded devices. Candidates should hold a BEng in Electronic Engineering with a minimum of two years of relevant experience. Apply now to contribute to enhanced industrial safety.

Qualifications

• Minimum 2 years of embedded experience.
• Experience developing built-in self-testing protocols for proximity detection systems in the mining industry.

Responsibilities

• 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.
• Engage in Python software development tailored for embedded devices.
• Collaborate with clients to understand specifications and address requirements.

Skills

Proximity detection systems

Embedded systems

Python

Education

BEng Electronic Engineering

Job description

Reference : NES

Overview

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 & Responsibilities 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.

Responsibilities

• 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.

Qualifications

• Education: BEng Electronic Engineering.
• Minimum 2 years of embedded experience.
• Experience developing built-in self-testing protocols for proximity detection systems in the mining industry.

Apply now!