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Treeswift

Provides tree-level forest inventories via drones

Senior Robotics Engineer - Perception

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in perception for robotics.
  • Proficiency in C++ and Python.
  • Extensive experience developing simultaneous localization and mapping (SLAM) solutions, ideally involving ground-based LiDAR.
  • Experience with extrinsic and intrinsic sensor calibration, including automated data-driven calibration.

Responsibilities

  • Improve product quality and consistency across a broader range of operating conditions.
  • Lead SLAM development, incorporate new sensor evolutions, and explore approaches to improve performance in GPS-degraded environments.
  • Improve sensor fusion and calibration by fusing multi-user, multi-session point-cloud maps and automating alignment of LiDAR and imagery data to produce consistent large-scale scenes.
  • Eliminate the need for extrinsic measurements on vehicle sensors in the field and improve the ability to detect and correct potential data-quality issues at their source.

Desired Qualifications

  • Prior experience with ultra-wide-angle cameras.

About the Company

Treeswift

Provides tree-level forest inventories via drones

Treeswift collects and sells precise forest data. It uses sensor suites attached to drones and backpacks to gather tree-level measurements (diameter, height, quality, merchantable products, species, stem defects) and geospatial information across large areas, focusing on carbon and timber inventories for forest management. The data is processed with advanced algorithms to create detailed inventories for each tree. This product is sold as an operational database of carbon and timber metrics that foresters can use to make decisions. Unlike broader, less granular methods, Treeswift delivers verifiable, per-tree data collected in real time over large landscapes, with the involvement of foresters in its development. The company’s goal is to provide accurate, scalable, and reliable forest inventories that improve decision-making in forest management and carbon/timber accounting.

Company size
51-200
Company stage
Early VC
Total funding
$15.6M
Headquarters
New York City, New York
Founded
2020

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