SLAM & Localization Research Intern - Autonomous Robotics

Venti Technologies

Singapore

On-site

SGD 29,000 - 51,000

Full time

14 days+

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Benefits offered by this job

World-class benefits
Flexible working arrangements
Great international working environment

Job summary

A leading robotics company in Singapore seeks talented individuals to join a team focused on developing cutting-edge localization algorithms for autonomous vehicles. The ideal candidate should have a strong background in Computer Science or Robotics, particularly in localization and mapping, alongside programming experience in C++ and Python. A collaborative environment awaits where innovative ideas meet hands-on application. The company offers a competitive salary and enviable benefits.

Qualifications

  • Strong familiarity with localization algorithms, including feature extraction and SLAM techniques.
  • Experience with probabilistic robotics and robotics research involving sensors.
  • Flexible problem-solver with C++ and Python programming experience.

Responsibilities

  • Keep abreast of localization algorithms focusing on LiDAR and Visual-Inertial Odometry.
  • Assist with development of localization and mapping algorithms, implementing odometry systems.
  • Carry out tests and provide detailed summaries of evaluations.

Skills

Familiarity with localization algorithms
Problem-solving
Experience with C++
Experience with Python

Education

Undergraduate or Master's degree in Computer Science, Robotics, or related fields

Tools

Linux
ROS

Job description

A leading robotics company in Singapore seeks talented individuals to join a team focused on developing cutting-edge localization algorithms for autonomous vehicles. The ideal candidate should have a strong background in Computer Science or Robotics, particularly in localization and mapping, alongside programming experience in C++ and Python. A collaborative environment awaits where innovative ideas meet hands-on application. The company offers a competitive salary and enviable benefits.
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