Safe and compact drone for operation in GPS denied environments
Control Systems Engineer
A little bit about us:
We are a Boston-based startup that specializes in the development and commercialization of safe and compact unconventional aerial robots for the public safety and commercial markets.
Hundreds of lives are lost in the line of duty and in potentially dangerous situations, each year, in the US alone. The Dronut, our award-winning technology, is the world’s first unmanned aerial vehicle (UAV) designed and engineered for safe operation indoors and around people. Used for reconnaissance and in emergency situations, its purpose is operation critical: to assess and provide real-time data prior to sending humans into harm’s way.
The Cleo team is a tight-knit group of incredibly passionate, creative, and ambitious individuals. Our vibe is cool, fresh, energetic, and sprinkled with lots of humor and out-of-the box ideas. We bring our best to work and we take pride in working with some of the best names in the tech industry. The UAV is a competitive space and we’re making our mark -- which is why we’re growing fast.
A little bit about the position:
We are very excited to grow our team and are looking for a dynamic, quick thinking, and results-focused Senior Controls Systems Engineer to join our Seaport area office. If you have a passion for all things tech, read on.
As a Senior Control Systems Engineer, you will be responsible for the design and implementation of advanced control systems for the Dronut UAV. The role will entail the development and testing of advanced autonomous control systems using non-linear or under-actuated control methods and feedback control algorithms. Work will also include mathematical modeling, system identification, and control system simulation.
- Masters or PhD in mechanical engineering, electrical engineering, or computer engineering with coursework and research emphasis on autonomous systems / robotics.
- Hands-on experience developing autonomous unmanned or robotic systems operating in real-world environments.
- Demonstrated proficiency with a variety of control / autonomy approaches and algorithms, both linear and nonlinear.
- Experience with general purpose programming languages and environments such as C/C++, Python, Matlab/Simulink, ROS, Linux.
- Experience with SLAM algorithms for localization, autonomy, and path planning.
- Experience with sensor fusion using the Extended Kalman Filter and other methods.
- Research and development of control systems and autonomy algorithms for Unmanned Aerial Vehicles.