Principal Research Scientist at Symbotic

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 looking for Principal Research Scientist who is familiar with a fleet of robots that works in a warehouse moving resources into storage and from storage out to palettes for shipping. They are expert on how to optimize the rate at which items are moved in and out of the warehouse the algorithm needs to balance including what tasks need to be done, what bots and structure resources exist and what state they are in, and what inventory resources are eligible for each task and how preferable they are to use for long-term inventory goals.

What we do

The fleet orchestration organization writes software that helps to optimize the usage of all warehouse resources and fulfill orders in the most efficient manner. The services are the control hub, communicating with databases and robots.

What you’ll do

• Develop practical algorithms for optimized utilization of multi-robot resources in a 3D warehouse environment

• Research, develop, and productize solutions for NP-Hard optimization problems using combinatorial optimization or AI

• Document and present potential algorithm solutions to the engineering tasking team and wider engineering teams

• Develop software to test and model algorithms, taking account of resources such as available computer and memory

• Support the team to implement the algorithms into production level code including testing, QA and bug fixing

• Utilize and structure large data collections to train, debug and test algorithms

• Keep updated with latest optimization research through conferences and papers

• Analyze algorithms running in a production environment and collect KPIs to track solution quality

What you’ll need

• PhD in AI, Mathematics, Signal Processing or equivalent

• Minimum 3 years professional experience developing solutions for optimization problems

• Experience solving NP-Hard scheduling problems for real world applications

• Practical experience with mathematical optimization techniques such as Linear and Mixed Integer Programming

• Experience creating plots and visualizations from production data using tools like Kibana, Tableau, Python libraries, etc.

• Experience with PyTorch, TensorFlow or OpenCV

• Team player, able to provide input and guidance to the software tasking team

Bonus points!

• A hands-on problem solver with excellent software design and implementation skills

• Experience with developing unit tests and test automation frameworks

• Should be comfortable with asynchronous or multithread programming

• Experience analyzing large data sets

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.