Robotics Localization / Perception Engineer

Pentangle Tech Services | P5 Group; Mossville (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

CAT is seeking a Robotics Localization / Perception Engineer to develop and improve localization and perception algorithms for autonomous systems. The ideal candidate will apply C++, ROS2, LiDAR, SLAM, sensor fusion, and state estimation in real-world robotics projects.

You will implement production-grade localization solutions, incorporate multi-sensor data (LiDAR, IMU, GPS, UWB), calibrate sensors, and collaborate with robotics, perception, and software teams to deploy reliable autonomous

Qualifications

• 2–6 years of professional experience in robotics, autonomous systems, perception, localization, or related fields.
• Strong programming experience in C++.
• Hands-on experience with ROS2.
• Strong understanding of LiDAR-based localization and SLAM.
• Experience with state estimation and sensor fusion.
• Experience with LiDAR, IMU, GPS, or UWB sensors.
• Experience developing algorithms for autonomous robots, autonomous vehicles, or similar systems.

Responsibilities

• Develop and implement production-grade 2D LiDAR localization algorithms using C++ and ROS2.
• Develop and improve localization, SLAM, and state-estimation solutions for autonomous robotic systems.
• Build and evaluate algorithms using Particle Filters, Kalman Filters, and Factor Graph Optimization.
• Develop multi-sensor positioning and fusion solutions using LiDAR, IMU, GPS, and UWB.
• Perform sensor calibration and integrate data from multiple sensors for reliable localization.
• Develop perception and mapping solutions for autonomous systems.
• Analyze localization quality and implement metrics to support navigation, recovery, and system-level decision making.
• Troubleshoot algorithm and sensor-integration issues in real-world robotic environments.
• Collaborate with robotics, perception, controls, and software teams to integrate algorithms into production systems.

Skills

C++

ROS2

LiDAR-based localization

SLAM

sensor fusion

state estimation

Particle Filters

Kalman Filters

Factor Graph Optimization

LiDAR

IMU

GPS

UWB

Job description

CAT is seeking a Robotics Localization / Perception Engineer to develop and improve localization and perception algorithms for autonomous systems. The ideal candidate will have strong hands-on experience with C++, ROS2, LiDAR, SLAM, sensor fusion, and state estimation in autonomous robotics environments.

Key Responsibilities

• Develop and implement production-grade 2D LiDAR localization algorithms using C++ and ROS2.
• Develop and improve localization, SLAM, and state-estimation solutions for autonomous robotic systems.
• Build and evaluate algorithms using Particle Filters, Kalman Filters, and Factor Graph Optimization.
• Develop multi-sensor positioning and fusion solutions using LiDAR, IMU, GPS, and UWB.
• Perform sensor calibration and integrate data from multiple sensors for reliable localization.
• Develop perception and mapping solutions for autonomous systems.
• Analyze localization quality and implement metrics to support navigation, recovery, and system-level decision making.
• Troubleshoot algorithm and sensor-integration issues in real-world robotic environments.
• Collaborate with robotics, perception, controls, and software teams to integrate algorithms into production systems.

Required Qualifications

• 2–6 years of professional experience in robotics, autonomous systems, perception, localization, or related fields.
• Strong programming experience in C++.
• Hands-on experience with ROS2.
• Strong understanding of LiDAR-based localization and SLAM.
• Experience with state estimation and sensor fusion.
• Experience with one or more of:
• Particle Filter
• Factor Graph Optimization
• Experience working with LiDAR, IMU, GPS, or UWB sensors.
• Experience developing algorithms for autonomous robots, autonomous vehicles, or similar systems.

Preferred Qualifications

• Experience with computer vision and perception.
• Experience with semantic segmentation and RGB-D mapping.
• Experience with 3D mapping or reconstruction.
• Experience with advanced perception technologies such as NeRF or 3D Gaussian Splatting.
• Experience with imaging sonar or underwater perception.
• Experience developing multi-modal perception pipelines combining sonar, vision, GPS, LiDAR, and/or IMU.
• Experience with sensor calibration and challenging real-world localization environments.