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UISEE Technologies (Hong Kong) Limited is seeking an on-site Map Engineer to lead end-to-end high-precision map workflows for autonomous driving projects in Singapore. You will manage data collection, map creation, deployment, calibration and continuous optimization, while providing feedback on map tool quality.
The role requires bilingual Chinese/English communication, a relevant bachelor’s degree, and hands-on experience with software/hardware lifecycles, deployment, testing and Linux Bash.
You will be responsible for the end-to-end high-precision map workflow for autonomous driving project deployment, including data collection, map creation, deployment, calibration and continuous optimization. You will provide systematic feedback on map tools regarding functionality, stability and quality, and collaborate with internal teams to drive continuous iteration and improvement of tools and products. You will also be responsible for the adaptation and implementation of autonomous driving system software and hardware products in specific application scenarios, including system deployment, equipment replacement, joint debugging and on-site troubleshooting. As a core on-site technical support role, you will identify problems, analyze and assist in resolving various on-site technical issues to ensure stable system operation.
Manage the complete high-precision map workflow for autonomous driving project deployment, including data collection, map creation, deployment, calibration and continuous optimization
Provide systematic feedback on map tool functionality, stability and quality issues
Collaborate with internal teams to drive iteration and improvement of tools and products
Adapt and implement autonomous driving system software and hardware products in specific application scenarios
Perform system deployment, equipment replacement, joint debugging and on-site troubleshooting
Identify, analyze and assist in resolving on-site technical problems
Ensure stable system operation through technical support
Singapore citizen or permanent resident (PR) with valid Class 3 driving license
Excellent bilingual proficiency in Chinese and English with strong technical communication and problem articulation skills
Bachelor's degree or above in Computer Science, Electronics, Communications, Vehicle Engineering, Automation or related fields
Experience with at least one complete software and hardware product lifecycle, with practical involvement in deployment and testing verification of at least one module
Extensive experience with software and hardware configuration, system testing and debugging
Strong interest and passion for autonomous driving business and technology, with strong learning ability and willingness to explore new technologies
Strong sense of responsibility, good service awareness and commitment, proactive in work
Good teamwork and collaboration skills, able to integrate into teams and maintain efficient communication and collaboration with cross-departmental colleagues
Familiar with Linux environment and Bash shell operations
Able to adapt to local Singapore outdoor and on-site work environments
Able to adapt to shift work arrangements