Research Software Intern - Slam, Machine Learning & Sensor Calibration

Motional

Singapore, Singapore
On-site
Slam methods for city-scale mapping
Outdoor sensor calibration technologies
Large-scale internal datasets
Motional is seeking a Research Software Intern in Singapore, targeting Master's or PhD students to engage in advanced research on localization, mapping, and calibration for autonomous vehicles. The internship is full-time and offers flexible working hours, with an emphasis on collaboration and publication of research findings

Job Summary

  • Conduct advanced research and development on state-of-the-art state estimation problems, specifically focusing on scalability across city and multi-city environments.
  • 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.

Matching Summary

Match Score: 85

Motional is seeking a Research Software Intern in Singapore, targeting Master's or PhD students to engage in advanced research on localization, mapping, and calibration for autonomous vehicles. The internship is full-time and offers flexible working hours, with an emphasis on collaboration and publication of research findings.

Skills & Requirements

Must-have

  • SLAM methods for city-scale mapping
  • outdoor sensor calibration technologies
  • large-scale internal datasets
  • deploy research onto autonomous vehicles
  • publish research results

Nice-to-have

  • strong theoretical and practical background
  • experience in onboard programming
  • understanding of real-time systems
  • previous experience in autonomous driving

Key Requirements

  • Master's or PhD program
  • publications in top-tier conferences
  • experience with machine learning
  • experience with large-scale mapping datasets
  • experience with online calibration techniques
  • proficiency in C++/Python coding

Work Rights

Reside in Singapore

Tailored Resume

Cover Letter