What We Do

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers

with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

Gecko Robotics is currently hiring new graduates to begin full-time in Spring or Summer of 2025.

Role at a Glance

As an Autonomy Engineer, you will be responsible for delivering world-class autonomy systems for Gecko’s inspection robots. You will work hands-on in our Pittsburgh based Accelerator lab with Gecko’s robots and other 3rd party systems to develop autonomy systems from the ground up, starting with sensor selection. Your solutions will power Gecko’s inspection deliverables under some of the most challenging field conditions.

What you will do

• Be an active contributor to the autonomy codebase

• Design, implement, and test autonomy systems that work well in a wide range of operating conditions and environments

• Get hands-on with the robots to test autonomy solutions and work with the Test and Reliability team to improve system level testing

• Stay informed on state of the art autonomy technologies

• Contribute to expanding the Intellectual Property portfolio of the company

Technologies We Use (If Applicable)

C++, Python, Ros

About You

• Bachelors or master’s in computer science, Robotics Engineering, or related technical field. Internship experience in relevant areas is best suited.

• Practical experience with ROS is required.

• 2+ years of experience in C++ and python.

• Experience with one or more of the following additional skills:

  • Sensor fusion

  • SLAM pipeline

  • Inertial and Wheel Odometry

  • Motion Planning

  • Controls

  • Perception

• Knowledge of Git, Jira, and Confluence or similar tools.

• Experience with Linux and command-line tools.

• Libraries such as OpenCV, PCL, ROS, Boost, Eigen.

Required Skills (If Applicable)

• Demonstrated experience developing localization, perception, or motion planning systems

• Production programming experience in C++ and Python

• Demonstrated experience deploying autonomy features on robots

• Experience with ROS, Docker, and Git

Who We Are

At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off.

Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.

Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.