Job Descriptions:
- Work on C++ and Python codes for software development in linux systems
- Added advantage if familiar with ROS or ROS2 for building autonomous or robotics systems
- Beneficial if familiar with open-source platforms like Autoware or Apollo for self-driving systems
- Develop, test, and fine-tune software for autonomous robots and vehicles across different platforms.
- Process and analyze sensor data, including LIDAR and camera inputs, for robotics and automation applications.
- Conduct outdoor vehicle trials for testing and validation of perception, navigation algorithms, and self-driving systems.
- Collaborate with team on improving and optimizing the performance of the autonomous vehicle system for real-world conditions.
- Participate in vehicle data collection activities and help refine software to meet project deliverables.
- Engage in software development and troubleshooting using ROS/ROS2 frameworks.
- Work on implementing object recognition and tracking models, such as YOLO, including optimizing model performance with tools like TensorRT
- Implement object recognition and tracking models, such as YOLO or similar frameworks, and integrate them into the existing autonomous software stack to enhance path planning and navigation, ensuring improved decision-making and obstacle avoidance.
- Any other adhoc duties or projects assigned
Period:
- Immediate till March 2025
Location:
- Boon Lay
Working Hours:
- Monday - Thursday 8.30am to 5.45pm
- Friday: 8.30am to 5.15pm
Salary:
- up to $6000
Job Requirements:
- Minimum Knowledge and Skills: Proficient in C++, Python, and Linux systems
- Beneficial Experience:
- Strong understanding of LIDAR and camera sensor data processing for robotics and automation (and other sensors such as RADARs and Ultra-sonic sensors).
- Familiar with ROS or ROS2 environments.
- Experience with outdoor testing, data collection, and validation of algorithms used in self-driving applications such as perception and navigation algorithms.
- Prior work on open-source autonomous driving platforms such as Autoware or Apollo.
- Familiarity with computer vision and experience implementing image / object recognition systems, such as YOLO, for real-time object detection and classification.
- Background in robotics and automation.
- Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Automation, or a related field.
In lieu of physical interviews, we will be conducting virtual interview, i.e. Skype/WhatsApp/Facetime/Zoom
Interested applicants, kindly email your detailed resume (MS Word format is preferred):
[email protected] (Reg No: R1107390)
Please ensure that applications sent through email are no bigger than 1Mb.
We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.
Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)
3 Shenton Way, Shenton House #19-01, Singapore 068805
T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg
