Robotics Software Engineer: C++, ROS2, SLAM & Sensor Fusion

Pentangle Tech Services | P5 Group; Illinois; On-site; USD 95,000 - 145,000; Full time

Job summary

Pentangle Tech Services | P5 Group is seeking a robotics software engineer to design production-grade C++ algorithms for ROS2-based autonomous systems in Illinois. You will advance 2D LiDAR localization, SLAM, and sensor fusion with LiDAR, IMU, GPS/GNSS, and UWB, while collaborating with robotics, perception, and controls teams to deliver robust solutions.

Responsibilities include developing and optimizing Kalman filters, particle filters, and factor graphs, plus testing in simulation and

Qualifications

• Develop production-grade C++ robotics algorithms using ROS2.
• Work on sensor fusion and state estimation with LiDAR, IMU, GNSS, and UWB.
• Test and validate algorithms in simulation and real-world environments.

Responsibilities

• Develop production-grade C++ robotics algorithms using ROS2.
• Develop and improve 2D LiDAR localization and SLAM algorithms.
• Work on sensor fusion and state estimation using LiDAR, IMU, GPS/GNSS, and UWB.
• Implement and optimize Kalman filters, particle filters, and factor graph optimization.
• Develop perception and mapping solutions for autonomous systems.
• Test and validate algorithms in simulation and real-world environments.
• Collaborate with robotics, perception, controls, and software engineering teams.

Skills

C++ engineering

Robotics algorithms

Sensor fusion

Localization

SLAM

State estimation

Testing & validation

Team collaboration

Tools

ROS2

Kalman Filters

Particle Filters

Factor Graphs

LiDAR

IMU/GNSS/UWB integration

Job description

Pentangle Tech Services | P5 Group is seeking a robotics software engineer to design production-grade C++ algorithms for ROS2-based autonomous systems in Illinois. You will advance 2D LiDAR localization, SLAM, and sensor fusion with LiDAR, IMU, GPS/GNSS, and UWB, while collaborating with robotics, perception, and controls teams to deliver robust solutions.

Responsibilities include developing and optimizing Kalman filters, particle filters, and factor graphs, plus testing in simulation and