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About the role
We are looking for highly motivated and technically curious Robotics Engineering Interns to join our team in a hands-on hardware-and-software role, contributing to the development of robotic systems, data infrastructure, and experimental platforms that support cutting-edge research in robot learning and embodied AI. This internship is designed primarily for Master's and undergraduate students, although PhD students are also welcome to apply. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Currently pursuing a Bachelor's, Master's, or PhD degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Computer Engineering, Mechatronics, or a closely related field
- Solid programming skills in Python and/or C++, with experience developing, testing, or debugging software for robotics, machine learning, or related technical applications
- Foundational understanding of robotics concepts, such as robot kinematics, control, perception, sensing, or robotic system integration
- Hands-on experience with robotics hardware, simulation, or substantial robotics software projects, gained through coursework, research labs, internships, personal projects, or robotics competitions
- Strong practical problem-solving skills, willingness to learn unfamiliar tools and technologies, and ability to troubleshoot technical challenges independently
- Good communication and collaboration skills, attention to technical detail, and enthusiasm for working in a fast-paced, interdisciplinary research and engineering environment
More about this role
Trace is building the data, infrastructure, and research that enable robots to learn from the real world. General-purpose robotics requires a deeper understanding of how robots learn from real-world data. Our research explores how to transform human experiences, including egocentric video, demonstrations, hand-object interactions, and multimodal sensory signals, into transferable representations, actionable knowledge, and generalizable robot behaviors. At our Brooklyn research lab, we combine fundamental research in robot learning, computer vision, and embodied AI with large-scale datasets, machine learning infrastructure, and real-world robotic experimentation. Our goal is to advance the science of robot learning while developing the datasets and learning foundations for increasingly capable, adaptable, and reliable robots.
We are looking for highly motivated and technically curious Robotics Engineering Interns to join our team in a hands-on hardware-and-software role, contributing to the development of robotic systems, data infrastructure, and experimental platforms that support cutting-edge research in robot learning and embodied AI. This internship is designed primarily for...
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