Autonomy Engineer

You will significantly contribute to the development, testing, and optimization of custom sensor fusion localization, and state estimation solutions.

Our robots live on the side of ship hulls and must be able to accurately maneuver both above and below water in order to effectively fight biofouling.

To enable efficient biofouling removal, the robots must use detailed path planning to ensure total ship coverage.

In turn, our path-planning algorithms depend on accurate pose estimation which comes from specialized localization and sensor fusion implementations specific to our set of sensors and environment.

The side of a ship presents unique challenges that require novel localization solutions, including dealing with harsh and irregular environmental conditions, limited visibility, lack of discernible features, and low to no communication while the robot is submerged.

This challenging but rewarding environment creates an opportunity where creative problem-solving and critical thinking are crucial to success.

• Develop novel localization capabilities for an underwater walking robot with unique sensing capabilities.
• Integrate localization algorithms on physical robot platforms.
• Optimize localization performance by tuning algorithm parameters and sensor noise models.
• Lead testing, evaluation, and analysis efforts, including simulation, in-lab, and in-field testing.

• Experience with robotics algorithms, particularly state estimation techniques.
• Understanding of the pros and cons of various localization methods (such as Kalman filters, particle filters, or factor graphs), appropriate use cases for different algorithms, and techniques for tuning parameters to improve localization performance.
• Experience with software development in C++ and/or Python.
• Excited to be developing a novel robotic platform.

• Experience with electronics and sensor integration.
• Experience with in-field robot testing.
• Familiarity with robot path planning, graph search, and/or mapping algorithms.
• Experience working with Eigen and/or GTSAM in C++.
• Experience working with IMU/accelerometer/gyroscope sensors.
• Background in computer vision and computational geometry.
• Familiarity with unit testing framework(s) for Python and/or C++.
• Familiarity with robotics simulators such as MuJoCo, and/or experience setting up and running large-scale simulation evaluations in such environments.

Fleet Robotics is the leader in autonomous ship/hull grooming robots.

With an emphasis on reliable operation, predictable performance, and autonomous decision making, we offer our customers improved operational efficiency, enhanced environmental compliance, and clear measurements of vessel condition.

We have a core team of engineers who have worked across industries, including robotics, aerospace, and marine systems.

We are a passionate team that cares deeply about solving significant environmental and ocean-based problems with cutting-edge robotics.

Everyone’s background is different.

We are committed to fostering an environment with diverse experiences, ideas, and backgrounds.

We are deliberate and self-reflective about the kind of team culture that we are building, seeking engineers who are not only strong in their own aptitudes but who care deeply about supporting each other's growth.

If you are excited by the ability to develop novel robots and solve challenges, then we encourage you to apply.