Demo

Applied Engineer - Geospatial Data Engineer

Field AI
Mission Viejo, CA Full Time
POSTED ON 3/19/2025
AVAILABLE BEFORE 4/18/2025

Field AI is among the select startups making robots a reality. We are a deep-tech robotics company shaping the future of embodied AI. Our intelligent brains operate across legged, wheeled, and humanoid robots. We blend commercial applications with groundbreaking research, fostering a dynamic environment that pushes the boundaries of robotics.

We're looking for an applied engineer who is passionate about developing advanced robot perception and 3D mapping algorithms. In this role, you will work with a variety of laser scanners used for point cloud documentation in complex environments, focusing on designing and optimizing workflows for processing, managing, and documenting 3D point cloud datasets. The ideal candidate will not only have a deep understanding of point cloud processing algorithms but also the ability to deliver high-quality, maintainable code.

What You Will Get To Do

  • Develop and refine point cloud processing pipelines, including noise reduction, segmentation, and object detection.
  • Design and implement scalable systems to store and manage large 3D datasets with high reliability and performance.
  • Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables.
  • Ensure compliance with industry standards for 3D documentation and data quality.
  • Explore and integrate emerging technologies and tools to enhance point cloud workflows.
  • Implement and optimize algorithms in C and Python, maintaining a clean and organized code base.

What You Have

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proficiency in C and Python, with a proven ability to write maintainable and efficient code.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Current hands-on experience with tools and libraries such as PCL, Open3D, and CloudCompare.
  • Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS).
  • In-depth knowledge of 3D geometry, computer vision, and robot kinematics (e.g., transformation matrices).
  • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities.
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.
  • What Will Set You Apart

  • Experience with geographical information data and georeferencing algorithms.
  • Knowledge of survey control and on-site calibration tools such as total stations.
  • Our salary range is generous ($70,000 - $300,000 annual) but is based on factors such as relevant experience, competencies, and qualifications as well as other compensation considerations. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

    Why Join Field AI?

    We are solving one of the world's most complex challenges : deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

    Our team is uniquely suited to accomplishing these goals, with leadership and staff comprised of team members who have won back to back segments of the DARPA SubTerranean and DARPA RACER challenges and experts from NASA JPL, DeepMind, SpaceX, Boston Dynamics, Cruise, and Zoox, with educational roots at Stanford, CMU, MIT, and Georgia Tech.

    Be Part of the Next Robotics Revolution

    If you're a highly adaptable, resilient individual who thrives in a dynamic environment and aims to achieve big goals, Field AI is your next home. We're looking for talented individuals who are ready to take on challenges and make a tangible impact in the world of embodied AI. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

    Real Deployment, Real Impact. Fast-Paced Growth. Competitive Compensation. Supportive Environment.

    PI260163111

    Salary : $70,000 - $300,000

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