New Grad- Robotics Software Engineer

Who we are

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.

What we need

Symbotic is seeking for a Robotics Software Engineer to join our Computer Vision team within our Robot Perception organization. Your job will be to develop and deploy computer vision solutions that enable our fleet of autonomous robots to perform their missions safely, accurately, and efficiently.

In this role, you will contribute throughout the development lifecycle, from algorithm design and model training to sensor integration, optimization, and deployment on robotic systems.

What we do

The Computer Vision team develops perception capabilities that help Symbotic’s autonomous robots understand and interact with their environment. We create and deploy computer vision and machine learning solutions that support object detection, tracking, localization, mapping, scene understanding, and other capabilities required for safe and efficient robotic operation.

What you'll do

• Design, implement, and optimize computer vision algorithms for object detection, recognition, tracking, image segmentation, and scene understanding.
• Develop and optimize localization and mapping algorithms for real-time robotic applications.
• Build and train machine learning models that 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 used to train, validate, and test computer vision models.
• Partner with software, mechanical, hardware, and product teams to integrate computer vision solutions into Symbotic’s robotic systems, document results, and share technical knowledge.

What you'll need

• Preferred Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
• Strong knowledge of computer vision, image processing, and machine learning techniques.
• Proficiency in Python and C or C++.
• Experience with computer vision and machine learning libraries or frameworks such as OpenCV, PyTorch, or TensorFlow.
• Knowledge of robotic perception, localization, mapping, sensor integration, or related technologies.
• Strong problem-solving, communication, and collaboration skills, with the ability to work both independently and as part of a cross-functional team.

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 locations and company HQ.
• Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines. Eligible employees may receive a corporate credit card based on role and travel requirements, but a personal credit card may be needed during onboarding until the corporate card is issued.

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That’s why we’re proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.