PROFORCE LIMITED was incorporated in 2008 as a total defence solution provider specializing in armoured vehicles and personal protection. The company’s focus is on the delivery of confidence in protective mobility. We have developed a vibrant market for security and mobile protective products within Nigeria and Africa. PROFORCE has exploited its deep technical know-how to produce outstanding armored products for Government Agencies, Corporate Bodies, Diplomatic Communities and Private individuals within Nigeria and Africa.
Responsibilities
- Research, evaluate, and integrate innovative algorithms and technologies for perception, planning, and control to include deep learning and machine learning, multi-agent systems, expert systems, and mixed-initiative human-machine teaming to enable outstanding intelligence collection.
- Design, develop, and implement autonomous systems solutions from concept to deployment.
- Engage in the fabrication, assembly, and integration of subsystems, ensuring robust autonomous functionalities.
- Carry out any other assignment delegated by the Manager.
Qualifications
- Possession of a Minimum of B.Sc. in Artificial Intelligence, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or field related to the job duties as described above.
- At least 4 years’ relevant experience in autonomy and embedded system development.
- Have experience with real-time operating systems (RTOS), embedded systems development, and hardware/software co-design for resource-constrained platforms.
- Proficient in programming languages such as but not limited to Python, C++, Java, and experience with the ROS, as well as experience with software development tools and libraries.
- Familiarity with common sensor technologies and data processing techniques used in autonomous systems, such as point cloud processing, SLAM, and object detection/tracking.
- Familiar with UxS control systems (e.g., ArduPilot, Betaflight, PX4) and working knowledge of UxS architectures, flight-critical software, and aircraft performance.
- Proficient in languages for System-on-Module (SoM) platforms (e.g., C++ and Python), with a strong grasp of algorithms and data structures.
- Familiar with sensor technologies commonly used in autonomous systems, such as LiDAR, cameras, IMUs, GPS, and RADAR, including sensor calibration, data fusion, and sensor fusion algorithms.
- Experience with path planning algorithms (e.g., Dijkstra, A) and a proactive approach to problem-solving.
- Willingness to move to the Remo, Ogun State, Nigeria.
Job Location
Ode Remo, Ogun State
Salary Offer
N150,000 - N200,000
Method of Application
Signup to view application details.
Signup Now
