Sensor Fusion Engineer Intern - Robotics & Vision

Wayne State University; Hayward (CA); On-site; USD 27,552 - 41,328; Full time

Job summary

A pioneering medical device company is seeking a Sensor Fusion Engineer Intern for a 3-month internship in Hayward, California, with potential for full-time conversion. Ideal candidates are undergraduate or graduate students with a strong foundation in robotics, computer vision, estimation theory, and signal processing. Responsibilities include developing algorithms to combine IMU data and camera images for enhanced localization within the PillBot™, along with collaborating with other interns to ensure effective robot localization. Competitive opportunity to gain hands-on experience in a multidisciplinary team.

Qualifications

• Strong academic background in estimation theory, signal processing, and control systems.
• Experience with Kalman filters or similar probabilistic state estimation techniques.
• Familiarity with computer vision concepts and processing camera data for pose estimation.

Responsibilities

• Design and implement algorithms to combine IMU data with visual information.
• Apply Kalman filters to estimate the robot's position and orientation.
• Utilize camera images for visual odometry to correct IMU drift.
• Test and validate the sensor fusion system's accuracy and robustness.
• Work with Machine Learning/Computer Vision intern to ensure complementary approaches.

Skills

Estimation theory

Signal processing

Computer vision

Kalman filters (EKF, UKF)

Python

C++

Education

Pursuing or completed a degree in Robotics, Electrical Engineering, or Computer Science

Job description

A pioneering medical device company is seeking a Sensor Fusion Engineer Intern for a 3-month internship in Hayward, California, with potential for full-time conversion. Ideal candidates are undergraduate or graduate students with a strong foundation in robotics, computer vision, estimation theory, and signal processing. Responsibilities include developing algorithms to combine IMU data and camera images for enhanced localization within the PillBot™, along with collaborating with other interns to ensure effective robot localization. Competitive opportunity to gain hands-on experience in a multidisciplinary team.