Innov8 Hub is a non-profit organization that provides expert support for startups and organizations looking to develop innovative new solutions that solve problems in the local community, with the ability to not only visualise concepts using the latest technology but to also fabricate proof of concepts and fine tune manufacturing solutions for our home market
JOB DESCRIBTION
- Implement Machine Learning (ML) and Artificial Intelligence (AI) algorithms for real-time decision-making and automation.
- Develop and analyze circuit schematics, PCB layouts, and embedded system designs.
- Write and optimize firmware for microcontrollers (ARM, ESP32, STM32, etc.) and embedded hardware.
- Integrate wireless communication protocols (LoRa, Wi-Fi, Bluetooth, 5G) into drone and robotics systems.
- Conduct hardware debugging, testing, and troubleshooting of embedded systems.
- Work with sensor fusion techniques, including GPS, IMU, LiDAR, and computer vision-based navigation.
- Collaborate with software engineers to integrate AI-driven perception and control systems.
KEY RESPONSIBILITIES:
- We are seeking a highly skilled Embedded Systems Engineer with expertise in AI and
- Machine Learning to design, develop, and optimize embedded systems. The ideal candidate will have experience in circuit design, firmware development, AI/ML implementation and troubleshooting complex embedded hardware systems.
Required:
- Bachelor's or Master’s degree in Electrical/Electronics Engineering, Robotics, Mechatronics, or a related field with a minimum of two(2) years hands-on experience.
- Strong proficiency in PCB design and embedded system development.
- Proficiency in Python, C/C++, ROS (Robot Operating System), and embedded firmware programming.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenCV.
- Hands-on experience with microcontrollers, FPGAs, and embedded computing platforms (NVIDIA Jetson, Raspberry Pi, etc.).
- Ability to troubleshoot and debug embedded systems at both hardware and software levels.
- Knowledge of computer vision, LiDAR mapping, and sensor fusion techniques.
Preferred Experience:
- Experience with real-time operating systems (RTOS) for embedded applications.
- Familiarity with cloud-based AI/IoT solutions for remote drone monitoring and control.
- Understanding of radio frequency (RF) communication and telemetry systems.
Method of Application
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