Software Engineer, SLAM

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading autonomous vehicle technology company is seeking a motivated Software Engineer in Singapore. This role involves conducting research and development in localization, mapping, and calibration, contributing to autonomous vehicle technology. Candidates should have a strong SLAM and state estimation background, proficiency in C++ and Python, and strong communication skills. A unique chance to work at the forefront of technology innovation.

Qualifications

• Strong research background in SLAM and state estimation.
• Publications in top-tier conferences like CVPR or ICRA.
• Experience in applying machine learning techniques to mapping.

Responsibilities

• Conduct advanced research on state estimation problems.
• Work with large-scale data sets for research effectiveness.
• Collaborate to deploy research results onto vehicles.

Skills

Research in SLAM

C++ programming

Python programming

Communication skills

Machine learning techniques

Education

Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, Robotics

Tools

Real-time systems understanding

Job description

We are seeking highly motivated Software Engineer to join our team to conduct cutting-edge research and development in Localization, Mapping and Calibration. This is an exceptional opportunity to contribute directly to the advancement of autonomous vehicle technology, working alongside a team that is leading the industry in location, mapping and calibration innovation.

What you’ll be doing:

• Conduct advanced research and development on state-of-the‑art state estimation problems, specifically focusing on scalability across city and multi‑city environments. Research topics including, but not limited to: SLAM methods for city‑scale mapping technologies, outdoor sensor calibration technologies, etc.
• Work with large‑scale internal datasets to demonstrate the effectiveness of your research.
• Collaborate with different teams to deploy your research results onto autonomous vehicles.
• Publish the research results in papers and patents.

What we are looking for:

• Bachelor's, Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
• Strong research background in the field of SLAM, state estimation, and/or sensor calibration, with publications in any of the top‑tier conferences (e.g., CVPR, ICCV, ECCV, ICRA, IROS, RSS).
• Experience in at least one of the following: applying machine learning techniques to mapping or geospatial problems, working with large‑scale mapping datasets or systems, utilizing online calibration techniques for autonomous driving or robotics systems, or demonstrating a strong theoretical and practical background in computer vision (especially sensor calibration/SLAM).
• Strong communication and interpersonal skills.
• Proficiency in C++/Python coding, having experience in onboard programming, with an understanding of real‑time systems is a plus.
• Previous experience in autonomous driving is preferred.