Intelligent Behavior Research Engineer

MOOVITA PTE. LTD.; Singapore; On-site; USD 70,000 - 110,000; Full time

Job summary

An innovative startup is seeking a talented Researcher to contribute to the development of cutting-edge autonomous driving solutions. This role involves conducting in-depth research and algorithm development to enhance intelligent driving behavior in complex scenarios. You will work with a passionate team to implement and validate algorithms in both simulation environments and real vehicles. If you are eager to push the boundaries of technology and make a significant impact in the field of autonomous mobility, this opportunity is perfect for you. Join a forward-thinking company that is at the forefront of autonomous vehicle technology and help shape the future of transportation.

Qualifications

• Master or PhD in Computer Science, Engineering or related field required.
• Deep knowledge of AI, deep learning, and reinforcement learning is essential.

Responsibilities

• Research and develop methods to enhance decision-making in autonomous vehicles.
• Evaluate performance of intelligent behavior modules against best-in-class methods.

Skills

AI and learning based approaches

C/C++ programming

Python programming

Deep learning

Reinforcement learning

Decision-making

Education

Master's degree in Computer Science

PhD in Engineering or related field

Tools

Linux

AV simulation environments

Job description

MooVita is a high-tech startup specialised in providing autonomous driving solutions. The company is headquartered in Singapore with offices in Malaysia and China. MooVita is founded by a passionate team who are one of the first teams to put autonomous vehicles on Singapore public roads.

MooVita is developing a complete solution for last mile autonomous mobility and we are looking for a Researcher to perform in-depth research and algorithm development for intelligent autonomous driving behavior in dynamic and challenging on-road scenarios, leveraging on advanced contemporary methods in learning, prediction and planning under uncertainty.

Responsibilities:

• Research, develop, and translate methods at the frontier of learning, prediction, and planning to improve MooVita’s current behavior and decision-making stack
• Develop rigorous performance evaluation of developed intelligent behavior modules and benchmarking with existing best-in-class methods
• Work with team on efficient implementation, testing and validation of developed algorithms in AV simulation environments and on real vehicle

Requirements:

• Master or PhD degree in Computer Science, Engineering or related field
• Deep knowledge and practical experience with AI and learning based approaches (e.g. deep learning, reinforcement learning, transformer) for prediction, planning, or decision-making
• Excellent C/C++ and/or python programming skills
• Knowledge of Linux, and development on Linux systems
• Experience in development, application, or simulation of robotics and autonomous systems will be a plus