Mapping And Localization Engineer

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Ryz Labs

πŸ“Remote - Argentina

Summary

Join RYZ Labs as a Mapping & Localization Engineer and contribute to the development of autonomous robots for last-mile delivery services. You will design and implement core components of a next-generation mapping and localization engine, collaborating with a team to create a scalable and high-resolution mapping system for city-sized environments. This role requires strong C++ programming skills and experience with SLAM systems. You will work closely with other autonomy team members and contribute to production-quality code. RYZ Labs offers a remote and distributed work environment with opportunities for growth and development within a team of experienced professionals.

Requirements

  • Bachelor’s degree in Robotics focused in localization and mapping and 2+ years of industry experience
  • Experience building SLAM systems in production
  • Strong C++ programming skills
  • Experience designing and building a simple system that works, and having it gradually evolve into a elegant system that scales
  • Strong verbal and writing communication skills

Responsibilities

  • Design and implement core pieces of the next generation mapping and localization engine
  • Contribute to a mapping system that scales to city-size environments while preserving high resolution geometry to aid navigation in tight quarters
  • Collaborate to improve map annotation tooling and consumption of data by neural network based approaches for safe traversable area navigation
  • Contribute to flexible location estimation fusing relative and absolute measurements
  • Work closely with other autonomy team members to maximize the utility provided by mapping and localization
  • Ship production quality code, participate in code reviews, teach/mentor more junior engineers

Preferred Qualifications

  • PhD in Robotics focused in localization and mapping
  • Experience building cloud applications
  • Building infrastructure for labeling and maintaining HD maps
  • Experience with very large geospatial datasets
  • Experience with CUDA programming
  • Experience with real sensors, such as lidar, camera, RGB-D, etc

Benefits

  • Remote and distributed work environment
  • Opportunities for growth and development

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