
Chief Robotics System Designer
1 week ago
Job Description:
Robotics Engineer OpportunityWe are seeking a talented Robotics Engineer to join our team. As a key member of our Research and Development department, you will play a crucial role in designing and developing control systems for our products.
The ideal candidate will have in-depth knowledge of design analytics, algorithms, analysis tools, and object-oriented modelling. They should be critical and creative thinkers with excellent communication and problem-solving skills.
Responsibilities include:
- Designing and developing robotics systems that interact with drones/UAVs
- Collaborating with cross-functional teams to ensure project delivery on time
- Gathering and analyzing users' requirements and interpreting them into design requirements
- Providing technical support to other teams regarding robotics system-related issues
- Conducting testing for implemented algorithms
- Ensuring existing research, development, and testing equipment is up-to-date
- Staying current with the latest technologies and incorporating new technology into existing units
- Working closely with customers to resolve technical issues as needed
- Drafting new project proposals and presenting them to management
- Performing other duties as assigned by management
Requirements:
- Bachelor's degree in Computer Engineering/Science, Robotics, or related field
- 3+ years of experience in the robotics field (preferred)
- Strong knowledge of C/C++ and Python, familiar with Git and bash
- Knowledge of advanced robotics control and filtering (Kalman Filtering and PID)
- Ability to think creatively and analytically
- Proficiency in problem-solving
- Clean, readable, and modular coding practices
- Excellent teamwork skills, flexibility, and ability to multitask
Preferred Requirements:
- Experience with ROS, Ubuntu, OpenCV
- Experience with Kotlin and Android application development
- Experience with PX4 and Ardupilot
- Experience with advanced control systems (LQR or MPC)
- Experience with classical machine learning and deep learning
- Experience with debugging and interacting with electrical and mechanical hardware
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