Software Engineer – Robotics & Systems

Path Robotics•Columbus, OH

10h

About The Position

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time — no fixtures, no programming, no limits. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it. The Role We're looking for a Software Engineer with strong systems-level instincts and experience building software that interfaces directly with hardware. You'll work across our sensing stack, robotic platform, and compute infrastructure — writing the code that lets our robots see, move, and think. This is a role for someone who's comfortable working close to the metal: writing HALs, integrating sensors and actuators, and squeezing performance out of embedded compute platforms.

Requirements

3–6 years of software engineering experience in robotics, automation, embedded systems, or a related field.
Strong C++ skills in production environments, with working knowledge of Python for tooling, scripting, and testing.
Hands-on experience with ROS or ROS2 in deployed systems.
Experience building HALs, device drivers, or other low-level software for sensors, actuators, and hardware peripherals.
Comfortable with embedded Linux, cross-compilation, and working alongside hardware and firmware engineers to debug integrated systems.

Responsibilities

Develop full-stack software for sensing and robotic systems, including HALs for cameras, laser sensors, and communication interfaces.
Build and extend the software architecture that integrates robotic arms, welding systems, and peripheral hardware into a unified control stack.
Design and implement robust device drivers, HALs, and ROS-based components for production robotic applications.
Develop and optimize software for embedded compute platforms such as NVIDIA Jetson, including real-time and GPU-accelerated workloads.
Work closely with hardware, firmware, and systems teams to bring up devices, debug issues across the stack, support deployments, and improve field performance.