Rover Team – Autonomous Lead

QSET rover team is looking to expand its executive team by hiring leads. This expansion will enable general members to contribute to the team in a more meaningful and direct way. This position will run from June 1, 2024 to May 1, 2025.

Description

The Queen's Space Engineering Team (QSET) is a large multi-disciplinary team consisting of students from all engineering disciplines, in addition to the Faculty of Arts and Science. QSET designs a prototype Mars Rover for participation in the University Rover Challenge (for more information please visit urc.marssociety.org/home).

If selected as the Autonomous Lead, you will work with the rover management team and take on a greater responsibility for the design, implementation, and testing of the autonomous functionality on QSET’s Rover. The successful applicant will work closely with the Software Manager to ensure that the rover reaches its target for autonomous functionality. To keep updated with the project, the Autonomous Lead must coordinate and attend weekly meetings with the larger autonomous team. The rover management team will be at each of these meetings helping both in technical and managerial capacity.

The Queen’s Space Engineering Team encourages applications from women, visible minorities, Indigenous peoples, persons with disabilities, and members of the LGBTQ2S+ community. If you require accommodations during the interview process, please contact qset@ engsoc.queensu.ca.

Application Due Date: May 10, 2024 at 10 PM

Responsibilities

• Work closely with the Rover CTO, Mechanical Manager and Software Manager to aid the rover’s overall electrical design.

• With the help of the Software Manager team run weekly autonomous meetings with general members, working towards furthering the state of the rover’s autonomous functionality.

• With the help of the Rover CTO run weekly system meetings that keep general members engaged.

Preferred Qualifications

• Ability to research topics of interest, outside of current understanding, independently.

• Critical thinking and decision making, with a passion for engineering and design.

• Effective communication and time management skills.

• Object-oriented coding experience in either C/C++ or Python.

• Basic ROS2 experience (TF, ROSCPP, and ROSPY publisher/subscriber/services, actionlib, Gazebo).

• Experience in computer vision, machine learning, or a related field.

• General Linux experience.

• Simple Bash (command-line) experience