Mapping SpecialistVenti Technologies

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  • Not-remote
  • Full-time
  • Total comp
    Expected total yearly pay with bonus and equity at target, including any base pay.
  • Salary
  • Singapore

Job Summary

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

 

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth.

Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

Role responsibilities

  • Annotate and maintain high quality map information for Autonomous Vehicle

  • Plan routine testing and validation of new maps to meet requirements set by the Mapping and Localization team

  • Work with the Testing team to carry out mapping tests and make use of collected onboard sensor data

  • Plan map version deployment and updates on vehicles

Required experience

  • Diploma or Bachelor's degree in Geography, Engineering, Robotics, or a related field

  • Experience with GIS applications

  • Flexible problem-solver

Bonus experience

  • Experience with real-world robotics deployment

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