Innov8 Hub is an Innovation Startup driven organisation with a mandate to groom generations of INNOVATORS, INVENTORS, and RESEARCHERS across the board. Innov8 is a focal point for Innovation Startup Incubation, Technology Transfer, Knowledge and Skill Impartation, Prototype Development, and Fabrication. We strategically aid organizations and individuals seeking to transform their ideas into inventions, inventions into solutions, and solutions into enterprises.

We are recruiting to fill the position below:

Job Title: Embedded Systems Engineer

Location: Abuja (FCT)
Job Type: Full-time

Job Description

• 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.

Requirements

• 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.

Application Closing Date
Not Specified.