Symbotic
New Grad- Robotics Software Engineer
Job Description
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.