The board
- Hours
- Full time
- Where
- USA Wilmington, MA - HQ
- Posted
- Sep 23
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
Timeframe: Spring (Jan-May 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.
What you'd do
- Publications at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, ICLR, RSS, ICRA, IROS, RAL, AAAI, ICAPS, IJCAI, JAIR, etc.)
- 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.
What they want
- 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.
- Starts
- 2026-09-23