Autonomous Robotics AI Engineer: SLAM, Perception & Mapping

Robson Bale Ltd

Boston (MA)

On-site

USD 130,000 - 170,000

Full time

2 days ago
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Job summary

Robson Bale Ltd in Boston is seeking an experienced Robotics AI Engineer to join the Calibration, Localization, and Mapping team. You will work on SLAM, sensor fusion, and real-time perception for autonomous quadruped and humanoid robots.

You will develop production-quality C++ and Python software, integrate with ROS/ROS2, and collaborate with cross-functional teams to deploy algorithms on real-world platforms.

Qualifications

  • Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical discipline.
  • Strong experience with SLAM, localization, mapping, or sensor calibration.
  • Advanced programming skills in C++ and Python.
  • Hands-on experience with ROS/ROS2.

Responsibilities

  • Design, develop, and implement SLAM, localization, mapping, and calibration algorithms.
  • Build robust sensor fusion solutions using LiDAR, cameras, IMUs, and other sensing technologies.
  • Develop production-quality software using C++ and Python.
  • Improve visual-inertial and LiDAR-inertial odometry systems.
  • Develop tools and performance metrics to validate and benchmark algorithms.
  • Collaborate with cross-functional engineering teams to deploy algorithms on real-world robotic platforms.
  • Optimize algorithms for reliability, accuracy, and real-time performance.

Skills

SLAM
C++
Python
ROS/ROS2
Sensor fusion
State estimation

Education

Master's degree in CS/Robotics/EE
PhD in CS/Robotics/EE

Tools

ROS/ROS2
PCL/OpenCV
LiDAR sensors

Job description

Robson Bale Ltd in Boston is seeking an experienced Robotics AI Engineer to join the Calibration, Localization, and Mapping team. You will work on SLAM, sensor fusion, and real-time perception for autonomous quadruped and humanoid robots.

You will develop production-quality C++ and Python software, integrate with ROS/ROS2, and collaborate with cross-functional teams to deploy algorithms on real-world platforms.

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