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# Robotics Software Engineer

- **Company:** Path Robotics
- **Location:** Columbus, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Unit Testing, Continuous Integration, Software Debugging, Linux, Python (Programming Language), Kinematics, Motion Planning, Reinforcement Learning, Multithreading, Robot Operating System, Test-Driven Development (TDD), Concurrency, Git, Information Technology, C++14
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cc172417c2b96fab

## About the Role

* A Bachelor's in Computer Science, Robotics, Electrical Engineering, or Mathematics - or equivalent experience.
 * 2-4 years building robotics software in modern C++ (Python a strong plus).
 * Hands-on experience with real-time robotics, motion control, or controls software - you've built software that drives physical hardware.
 * Comfortable with multithreading, concurrency, and debugging systems-level behavior.
 * Fluent developing and operating software on Linux, with Git.
 * Familiar with solid engineering practice - some mix of TDD, unit testing, and CI/CD.
 * Bonus points for experience with learning-based methods or robot simulation (RL, imitation learning, sim-to-real), SLAM and navigation, or ROS.

## Description

* Build motion and trajectory planning for a variety of task goals - from patterned and adaptive, sensor-driven motions to resource-aware sequencing that coordinates multiple robots working the same part.
 * Develop kinematics, reachability, and motion planning - inverse kinematics and trajectory planning for robotic manipulators - and validate plans so motion is collision-free and executable.
 * Build the real-time control and feedback loops that keep the robot on target as it works - trajectory correction, feature tracking, and camera-based visual servoing.
 * Extend our robots beyond fixed workcells to mobile platforms - localization, mapping, and navigation so a moving robot can find its work and hold position while it acts.
 * Own the driver layer that connects to robot hardware - streaming motion commands to the robot controller in real time and abstracting sensors, scanners, and cameras behind clean, reliable interfaces.
 * Advance the stack with learning-based methods and simulation - reinforcement learning, learned planners, and sim-to-real training, alongside classical approaches., * Daily free lunch to keep you fueled and connected with the team


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