Embedded Software Sensor Algorithm Intern

Develop and validate sensor-enabled robotic manipulation using IMU and ToF sensors on embedded platforms.

Originally posted 20 October 2026 by the employer.

About the role

This on-site role focuses on developing and validating sensor algorithms and embedded software for robotic manipulation, motion tracking, and awareness systems using IMU and ToF sensors. The internship duration is a minimum of 6 months and up to 1 year in Santa Clara, CA.

What you'll do

• Develop and validate sensor-enabled robotic manipulation using IMU and ToF sensors, simulation, and real-world testing to improve grasp reliability and robot awareness.
• Design an implementation of algorithms, data collection experiments, integration, and verification on embedded platforms.
• Contribute to the development of algorithms to recognize the pattern of activities based on sensor data for applications such as motion tracking optical systems.
• Assist in the development of firmware for algorithm implementation on different platforms.
• Design, develop, test, and deliver sensor software drivers and algorithms for robotics, mobile, wearable, industrial, and automotive platforms.

What you'll need

• Currently working towards a Bachelor’s or Master's degree in Computer Science, Electrical Engineering, Robotics, Physics, or an equivalent field.
• Experience with implementing algorithms on embedded platforms using C and C++ programming languages.
• Experience with Python and tools used for machine learning analysis and development.
• Ability to work on-site in Santa Clara, CA for a duration of 6 months up to 1 year.

Skills: embedded, IMU, sensor algorithms, C/C++, firmware, ToF

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