Intelligent Behavior Research Engineer

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

Job summary

A leading high-tech startup in autonomous driving solutions is seeking a Researcher to drive algorithm development and enhance intelligent driving behaviors. The candidate will work on cutting-edge methods in prediction and planning under challenging scenarios, contributing to the advancement of autonomous vehicles on public roads.

Qualifications

• Deep knowledge of AI methods such as deep learning and reinforcement learning.
• Experience with simulation of robotics and autonomous systems is a plus.

Responsibilities

• Research and develop methodologies for intelligent autonomous driving.
• Evaluate performance and benchmark intelligent behavior modules.
• Implement and test algorithms in both simulation and real vehicles.

Skills

AI and learning-based approaches

C/C++ programming

Python programming

Linux

Education

Master or PhD degree in Computer Science, Engineering or related field

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