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Localization Engineer

Fintop Consulting Limited
Posted a day ago, valid for 16 days
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The company is seeking a candidate to oversee the architecture and roadmap for mapping and localization models in autonomous technology.
  • The role involves designing solutions for multi-sensor fusion using technologies like lidar, GPS, and cameras, and requires strong expertise in SLAM and computer vision.
  • Candidates should hold a Bachelor’s or Master’s degree in a relevant field and have proficiency in Python and C++.
  • The position offers a salary of $120,000 per year and requires at least 5 years of relevant experience.
  • This opportunity is ideal for those looking to make an impact in advancing industry performance and safety through innovative solutions.

About the Company: A forward-thinking technology company focused on advancing autonomous solutions for enhanced industry performance, and safety to promote a sustainable future.

Key Responsibilities:

  • Oversee the architecture and roadmap for mapping and localization models.
  • Design cutting-edge solutions for multi-sensor fusion, leveraging technologies like lidar, cameras, GPS, IMUs, and wheel encoders to support robust localization capabilities.
  • Develop and refine mapping and localization strategies for large-scale environments.
  • Collaborate closely with a diverse engineering team to continuously improve existing technologies.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong expertise in SLAM, computer vision, sensor fusion, and point cloud processing.
  • Proficient in programming with Python and C++.
  • In-depth knowledge of sensor technologies, including lidar, radar, cameras, GPS, and IMUs.

If you’re ready to make an impact in the field of autonomous technology and have the expertise to lead localization and mapping developments, we encourage you to apply!

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.