What we need

Symbotic is seeking a Robotics Software Engineer to join our Computer Vision team within our Robot Perception organization. This role is responsible for the development and deployment of 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 collision avoidance, tracking and detection algorithms under varying operational conditions for real-time robotic applications at the edge.
• 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, sensor fusion, multi-object tracking, state-estimation pipelines 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.

The base range for this position in the posted location is $93,000.00 - $136,400.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Symbotic is a premier global technology leader, specializing in the AI-enabled robotics architectures that define the world’s most advanced supply chains. Recognized as one of the fastest-growing tech firms in North America, the company is a top-tier destination for software engineers, roboticists, and data scientists looking to build a high-impact career at the frontier of physical and digital automation.

At Symbotic, we foster a culture of "bold innovation and radical collaboration." It is a workplace where the most ambitious minds in AI and hardware engineering are empowered to tackle the planet's toughest logistics challenges while achieving their own professional milestones. Join a team that is universal in scope, disruptive in spirit, and united by the drive to reinvent the world of commerce.