Advanced Software System Analyst 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 

We are looking for an Advanced Software System Analyst to join our Software System Analysis team. Your job will be to extend and develop data and analysis tools to extract information from large data sets generated during testing. You will help define and champion best practices for system analysis and testing and help identify opportunities to improve key functional and performance KPIs. 

What we do 

The Software System Analysis team is part of the Core Software Engineering organization and is responsible for exercising and analyzing the performance and reliability of the Symbotic warehouse automation system. The team collaborates with experts across the software stack to characterize and validate software and system performance in simulated environments. 

What you’ll do 

• Establish methods for identifying, measuring, and improving the critical performance factors that contribute to customer-visible operational metrics 

• Develop data-driven visualization tools to describe and report complex system performance and behaviors 

• Collaborate with cross-functional teams and customers to design experiments, analyze and interpret results, and develop performance reports to influence system performance improvements and next generation robotic automation solutions 

• Communicate findings to technical and leadership teams to drive root-cause findings and help drive solution development 

What you’ll need 

• Master’s degree and minimum of 3 years of experience (or Bachelor’s degree and minimum of 5 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Engineering, or Computer Science 

• Minimum 1 year of experience working as a data scientist or a similar role involving data extraction, analysis and statistical modeling 

• Experience using data query languages (e.g. SQL), scripting languages (e.g. Python), statistical/mathematical software (e.g. Matlab, R, etc), and visualization tools (e.g. Tableau) 

• Experience with source code control, unit testing, design and defect tracking tools 

• Familiarity with statistical methods, experimental design, and machine learning techniques 

• Strong analytical, creative problem solving, critical thinking, and organizational skills 

Our Environment  

• Up to 15% 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.