Robotics Software Engineer

Job Description Summary

The Robotics Software Engineer is a hands-on technical contributor within the Robotics & Computer Vision team at GE Vernova Advanced Research. This role develops advanced software for next-generation robotic arm solutions supporting inspection, repair, and advanced manufacturing applications in the energy sector.
The role focuses on motion and path planning for industrial manipulators, closed loop manipulation with on-arm cameras, and robust 3D perception pipelines for autonomous operation in complex field and factory environments. You will design and implement algorithms for 3D scanning, point cloud processing and segmentation, and high accuracy object registration and pose estimation to enable precise robotic manipulation and automated workflows.

The position requires building production quality software in C++ and Python on ROS2, contributing to a shared Git codebase, and collaborating closely with multidisciplinary teams across GEV to transition concepts from lab prototypes to deployable systems on FANUC, ABB, and UR robotic arms.
The Robotics & Computer Vision team values technical rigor, practical execution, collaboration, and innovation. We work across software, robotics, computer vision, controls, and systems engineering disciplines to create impactful solutions for GE Vernova businesses and customers.
As a GE Vernova accelerator, Advanced Research drives strategy and leads research and development efforts in partnership with GE Vernova businesses, government agencies, and external collaborators to deliver near-term impact and long-term breakthrough innovation.


Job Description


Key Responsibilities


Robotics Software Development

• Design, implement, test, and maintain production-quality software for robotic manipulation and autonomous operation.
• Develop scalable and maintainable software architecture in C++ and Python, applying strong software engineering practices including modular design, code review, testing, and version control.
• Contribute to shared Git-based repositories and support high-quality development workflows across the robotics software stack.

Software Infrastructure & Deployment (moved up)

• Build and maintain deployment pipelines that support the transition of lab-developed robotics capabilities into deployable systems.
• Utilize modern software development tools and practices, including CI/CD workflows, containerization, and build systems such as CMake.
• Support software integration across system components and contribute to reliable deployment on target robotic platforms.

Motion Planning, Control & Manipulation

• Develop and optimize motion planning, path planning, and manipulation algorithms for industrial robotic arms, including platforms such as FANUC, ABB, and UR.
• Support integration of planning and control software with robotic hardware to enable robust and precise operation in laboratory, factory, and field environments.
• Contribute to closed-loop manipulation workflows that combine perception, planning, and execution.

Perception & Vision Integration

• Implement closed-loop perception solutions using on-arm cameras and other sensing modalities, integrating 2D and 3D vision with robotic control in ROS2-based systems.
• Build 3D scanning and point cloud processing pipelines, including filtering, segmentation, registration, and pose estimation for object localization, inspection, and grasping tasks.
• Develop robust perception capabilities that support autonomous operation in complex and unstructured environments.

Cross-Functional Collaboration & Validation

• Collaborate with multidisciplinary R&D teams across GE Vernova, including robotics, computer vision, controls, mechanical engineering, and application teams.
• Participate in system integration, field validation, and technical troubleshooting to ensure solutions are robust, practical, and aligned with application requirements.
• Help translate early-stage concepts into fieldable systems for inspection, repair, manufacturing, and other energy-sector applications.

Qualifications / Requirements

• Master's, or PhD in Computer Science, Robotics, Engineering, or a related technical discipline.
• Strong proficiency in C++ and Python, with demonstrated experience writing clean, scalable, testable, and maintainable code.
• Strong Experience with robotics software development in ROS2, including node development, system integration, and communication across sensors, actuators, and control components.
• Strong experience with industrial robot programming and integration, including deployment on FANUC, ABB, and/or UR robotic arms.
• Experience developing motion planning, path planning, control, or manipulation software for robotic systems.
• Hands-on experience with 3D perception systems, including 3D cameras and/or LiDAR, point cloud processing, segmentation, object registration, and pose estimation.
• Experience with modern software engineering practices, including collaborative Git workflows, code reviews, build systems such as CMake, and test-driven or validation-focused…