Robotics Software Engineer

Overview

Wilder Systems designs, manufactures, and installs automated robotic systems for industrial manufacturing applications in the aerospace industry. Our tools are used in direct manufacturing and maintenance of aircraft structures for both commercial and defense customers. We have a dynamic, talented, and collaborative engineering team and want those who are energized by contributing to solutions to solve our customers’ toughest problems. We are now seeking an experienced Robotics Software Engineer to join in the development of industrial robotic control software.

Key Responsibilities:

· Software Development: Contribute clean, maintainable, and efficient code to a software stack for robotic control, motion planning, localization, and perception.

· Problem Solving: Identify and resolve complex technical challenges, optimizing system performance and reliability.

· Collaboration: Work closely with cross-functional teams to ensure timely delivery of high-quality software.

Qualifications:

· Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related fields.

· 3 years of software development experience, with a strong focus on automation.

· Extensive experience with object-oriented programming in modern C and Python.

· Experience with ROS2 (Robot Operating System 2) for robotics applications.

· Experience with robotics fundamentals (transforms, kinematics, motion planning algorithms, linear algebra, control theory, perception, sensor calibration).

· Experience with Git workflows and maintaining a well-documented codebase.

· Strong understanding of Linux operating systems and environments.

· Strong analytical and troubleshooting skills, with a passion for continuous improvement.

· US Citizen or Permanent Resident

Preferred Experience:

· Master’s degree or PhD in Computer Science, Engineering, or a related field.

· Experience with UI and front-end development (React preferred).

· Experience with backend development and database design.

· Experience with AWS, Google Cloud, or other cloud computing environments.

· Experience with Containers: Kubernetes, Docker, Containerd, etc.

· Experience designing software to meet DFARS cybersecurity standards.

· Experience with Deep Learning frameworks (Tensorflow, PyTorch).