Staff Software Engineer - Machine Learning/Computer Vision

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

The ML Vision Team at Symbotic is expanding, and we’re looking to hire a software engineer to help us build Machine Learning solutions. The candidate will assist in the development of deep learning vision models that will help our fleet of autonomous robots to accomplish their missions safely, accurately, and with super-human efficiency. The engineer is expected to help in all tasks that would develop ML solutions and deploy them to run on our fleet.

What we do

Our work matters - robotics is transforming the world of commerce. Every day our intelligent robots are responsible for getting food and merchandise to thousands of stores across North America. We’re an industry changer - we created the first and only fully autonomous, end-to-end supply chain solution. Today, we are driving towards even bigger ideas - and we have the people, technology, and leadership to fully realize these aspirations. We have the excitement and ambition of a startup with the benefits and resources of a proven organization.

What you will do

• Implement and maintain state-of-the-art on-bot vision solutions using python, C++, Docker, Kubernetes and other modern tools.

• Build on-bot and in-cloud infrastructure to develop and deploy state-of-the-art binocular and 3D vision solutions.

• Design and build dashboards and metrics to help develop and monitor vision solutions.

• Intimately understand the sensor package and work closely with electrical engineers and Linux Kernel developers to ensure correctness and timeliness of processed data.

• Work closely with our QA and DevOps engineers to deploy our solutions to the robot fleet across the world.

What you will need

• A minimum of Master’s degree in a related discipline (i.e. Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, etc.)

• Minimum of 6 years of solid professional experience in software engineering, skilled with an expertise in at least one language and its associated stack. The ideal candidate will check-in thoughtful, working code quickly and consistently.

• Ability to understand and help design a modern perception of hardware and software stack for a complex robotics system.

• Direct experience with developing ML models from scratch and implementing SOTA vision models in real-world applications.

• Plus: Experience implementing portable solutions using containers both in cloud and on edge.

• Plus: Experience with ML cloud computing models and tools (WandB, TFX, TensorBoard, KFP, etc.)

• Leadership: need to own a perception sub-system.

• Collaborative with, flexible in thinking and have a good sense of humor.

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 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.

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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.