Intern- Robot Perception

Timeframe: Summer (May-Aug 2027) 

At Symbotic, Early Career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, students have the opportunity to contribute to real projects, collaborate with experienced engineers and business leaders, and gain hands-on exposure to the technologies powering our end-to-end robotics and automation solutions. We are looking for curious, motivated students who are excited to solve complex problems, bring new perspectives to cross-functional teams, and see their work make an impact in a fast-moving, innovative environment.   

Along the way, Interns and Co-ops are supported through mentorship, professional development, networking opportunities, and a robust calendar of events designed to help them build community and grow their careers. Symbotic offers transportation and housing benefits for students who meet our relocation requirements.  

Continue reading below to learn more about this exciting opportunity! 

About the Opportunities 

Symbotic’s Robot Perception team is an accomplished group of engineers who are working on sophisticated algorithms in areas such as perception and computer vision.   

• Perception and Computer Vision interns will evaluate and propose new projects for replacing legacy tools with vision-based algorithms. These interns will scope projects from literature review, to dataset design and aggregation, training pipeline development, all the way through production deployment. Practical projects include vision-based collision avoidance.   

• SLAM interns will develop and test algorithms for robust robot localization in complex, real-world environments, applying sensor fusion, state estimation, and probabilistic methods to solve SLAM challenges at scale. 

What you’ll do 

• Research and experiment with traditional computer vision methods and deep learning methods for object detection, classification, segmentation, pose estimation, anomaly detection on images or videos. 

• Evaluate and benchmark computer vision methods on production data. 

• Deploy software to production on robot hardware. 

• Design data pre and post processing methods. 

• Document designs, code, experiments, evaluations. 

• Identify high-impact scenarios where AI Planning and machine learning can be applied to optimize the Symbotic robotics software. 

• Adapt state-of-the-art approaches or develop high-performance algorithms to solve real-world multi-robot problems. 

• Conduct simulations and experiments to validate the performance of the multi-robot algorithms. 

• Present results in verbal and written communications internally, and in top-tier academic venues. 

What you’ll need 

• Pursuing a Master’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. 

• Proficiency in Python and/or C++, including experience writing code and working in Jupyter notebooks. 

• Experience with machine learning frameworks such as PyTorch or TensorFlow. 

• Familiarity with computer vision and perception tools such as OpenCV, including image classification, object detection, segmentation, and camera calibration. 

• Exposure to robotics perception concepts such as sensor fusion, SLAM, 3D pose representations, coordinate transforms, probabilistic graphical models, and Bayesian inference. 

• Working knowledge of sensors, including RGB cameras, 3D sensors, and point cloud processing tools such as PCL. 

• Experience working in Linux environments and using command-line tools. 

• Familiarity with cloud platforms such as AWS or Azure, REST APIs, and/or SQL-based data tools such as Snowflake. 

• Exposure to deployment or optimization tools such as Docker, ROS/ROS 2, Jetson, ONNX, VLMs, or Vision-Language-Action models is a plus. 

What’s good to have 

• Publications at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, ICLR, RSS, ICRA, IROS, RAL, AAAI, ICAPS, IJCAI, JAIR, etc.)  

Our Environment  

• Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. 

• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.