Arduino, Raspberry Pi, STM32, and robotic hardware components (sensors, actuators).
Simulation tools like Gazebo and visualization tools like Rviz.
Develop Training Materials:
Technical content, lab manuals, and assessment tools.
Real-world mini-projects and capstone projects.
Mentor Trainees:
Evaluate learner performance and provide constructive feedback.
Support both classroom and online training modes.
Stay Updated:
Suggest curriculum improvements based on latest industry trends.
Implement ROS-based algorithms like SLAM and configure navigation stacks.
Requirements:
Proficiency in
C/C++ and Python.
Experience with
STM32, Raspberry Pi
, and
embedded Linux.
In-depth knowledge of
ROS 1 & ROS 2,
including nodes, launch files, packages, and workspaces.
Familiarity with interfacing sensors (LiDAR, camera, IMU) and actuators with ROS.
Experience using
Gazebo and Rviz
for simulation and debugging.
Strong communication and mentoring skills.
Prior training experience preferred.
Job Types: Full-time, Permanent
Pay: ?15,000.00 - ?20,000.00 per month
Benefits:
Paid sick time
Paid time off
Schedule:
Day shift
Supplemental Pay:
Performance bonus
Language:
English (Preferred)
Work Location: In person
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