Software Engineering Intern, Bear Robotics

• Strong programming skills in Python, Go, C++ or any major language
• Familiarity with SQL and experience writing complex queries
• Excellent problem-solving abilities and attention to detail
• Effective communication skills and ability to work in an agile team environment
• Robust programming skills
• Excellent verbal and written communication skills
• Current enrollment in a college/university degree program pursuing a Bachelor’s Degree or higher in computer science, software engineering, information systems, or related field
• Prolonged periods of sitting/standing at a desk and working on a computer. The employee routinely is required to sit; stand, walk; talk and hear; use hands to keyboard
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus
• Ability to lift 30 lbs

Desirable

• We’re seeking a motivated Data Engineering Intern to join our growing Data & Analytics team
• You’ll work closely with engineers and product managers to build, and maintain scalable data pipelines and infrastructure that power insights and real-time analytics for our fleet of restaurant robots
• Data Pipeline Development: Design, implement, and optimize ETL/ELT workflows to ingest, process, and transform data from robot sensors, restaurant POS systems, and user feedback platforms
• Real-Time Data Processing: Prototype, improve and deploy streaming data solutions (e.g., Pubsub, Dataflow) for near-real-time monitoring of fleet performance and operational metrics
• Data Quality & Governance: Implement data validation and monitoring to ensure accuracy and reliability
• Cross-Functional Collaboration: Partner with stakeholders to feature-engineer datasets for predictive models, and with Software Engineers to integrate analytics into dashboards and applications
• Performs other related duties as assigned
• Mentorship: Work alongside experienced engineers and scientists on real-world challenges
• Impact: See your work deployed in production, directly influencing product features and operations
• Learning: Hands-on learning with modern technologies, cloud infrastructure, and best practices
• Culture: Join a fast-paced, collaborative team dedicated to innovation and continuous improvement
• Networking: Connect with cross-functional teams in engineering, product, and business