New Grad- Robotics Software Engineer

Exol•Wilmington, MA

4d•$93,000 - $136,400

About The Position

Symbotic is seeking a Robotics Software Engineer to join the Computer Vision team within its Robot Perception organization. The role develops and deploys computer vision solutions that enable autonomous robots to perform their missions safely, accurately, and efficiently. The engineer contributes throughout the development lifecycle, including algorithm design, model training, sensor integration, optimization, and deployment on robotic systems. The Computer Vision team develops perception capabilities that help Symbotic’s autonomous robots understand and interact with their environment. Its computer vision and machine learning solutions support object detection, tracking, localization, mapping, scene understanding, and other capabilities required for safe and efficient robotic operation.

Requirements

Strong knowledge of computer vision, image processing, and machine learning techniques.
Proficiency in Python and C or C++.
Strong problem-solving, communication, and collaboration skills, with the ability to work independently and as part of a cross-functional team.

Nice To Haves

A master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field is preferred.
Experience with computer vision and machine learning libraries or frameworks such as OpenCV, PyTorch, or TensorFlow.
Knowledge of robotic perception, sensor fusion, multi-object tracking, state-estimation pipelines, or related technologies.

Responsibilities

Design, implement, and optimize computer vision algorithms for object detection, recognition, tracking, image segmentation, and scene understanding.
Develop and optimize collision avoidance, tracking, and detection algorithms for real-time robotic applications at the edge under varying operational conditions.
Build and train machine learning models to improve robotic perception, autonomy, and decision-making.
Collaborate with hardware engineers to integrate and calibrate cameras, LiDAR, depth sensors, and other sensing technologies.
Optimize algorithms and software for real-time performance on embedded systems operating in dynamic environments.
Collect, curate, and annotate datasets for training, validating, and testing computer vision models.
Partner with software, mechanical, hardware, and product teams to integrate computer vision solutions into robotic systems, document results, and share technical knowledge.