efforts.
Job Responsibilities
As a Robotics and Autonomous Systems Intern, you will collaborate with a multidisciplinary team of engineers and researchers to apply your academic knowledge and gain hands-on experience in one or more of the following areas:
Autonomous ground, air, surface, or underwater vehicles
Robot perception and sensor fusion (e.g., cameras, LiDAR, radar, IMU, GPS)
Motion planning, navigation, and control for robotic platforms
Real-time and embedded software for robotics
Robotics-focused Artificial Intelligence (AI) and Machine Learning (ML)
Simultaneous Localization and Mapping (SLAM) and state estimation
Human–Robot Interaction (HRI) and operator interfaces
Multi-agent and swarm robotics
Modeling, simulation, and digital twins for robotic systems
Safety, reliability, and verification of autonomous systems
Cybersecurity for robotic and autonomous platforms
Field testing, experimentation, and data collection with robotic systems
Robotics hardware and software integration
Basic Qualifications
Must be a full-time student pursuing an accredited degree program in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, or a closely related discipline.
Must continue to be enrolled the semester following the internship.
Foundational knowledge of robotics and/or autonomous systems concepts such as robotic architectures, kinematics, dynamics, control, perception, or planning, and familiarity with relevant software tools (e.g., C/C++, Python, ROS, MATLAB/Simulink, or similar).
Must have sustained excellence in academic performance.
Demonstrated interest in serving the public or advancing societal missions through previous work experience, volunteer activities, or other relevant engagements—especially in areas involving robotics or autonomous systems
Preferred Qualifications
Experience applying robotics or autonomous systems coursework in an internship, research lab, project team (e.g., robotics club, competition team), or independent project.
Proficiency with robotics software frameworks and tools (e.g., ROS/ROS2, Gazebo or other simulators, embedded development environments, version control such as Git).
Experience with one or more of the following
Robot perception and computer vision
Path planning, navigation, and control algorithms
Real-time and embedded systems for robotics
Machine learning for perception or decision-making in autonomous systems
Modeling, simulation, and hardware-in-the-loop testing
- This requisition requires the candidate to have a minimum of the following clearance(s):
- None
- This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
- None
Salary compensation range and midpoint
$46,500 - $58,000 - $69,500 Annual
Work Location Type
Onsite
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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