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Buzz Solutions Internship

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Position: Software Engineering Intern
Location: Palo Alto, CA
Innovation Area: Storage, Transmission and Management
Position Type: TomKat Center-supported
Compensation: $7500
Internship Term: 8 weeks

Buzz Solutions provides an AI-enabled software platform as well as actionable insights and predictive analytics engine to power utilities for detecting faults and anomalies as well as visual data management for power lines and critical infrastructure. Our product provides scalable data management, fault detection and predictive insights/analytics to the power line and physical grid infrastructure inspections and maintenance teams for power utilities. Our product enables power utilities to save 6-8 months of time for inspecting their power lines and assets as well as 50% cost reductions for the inspection and data analysis process. Using our solutions, utilities can have a more insightful understanding of their lines and assets and a quicker condition-based maintenance plan, thus, preventing power outages, storm surges and wildfires. We are currently working with some of the major utilities in US and Canada to help them inspect and manage their physical grid infrastructure.


  • Working on front end and back end tasks for our web platform and deploying deep learning/computer vision models on them
  • Building web-based and mobile (iOS) applications with deep learning/computer vision models integration
  • Unit testing for our web and mobile platforms

Who Should Apply

Stanford students who are passionate about the energy and sustainability space who enjoy finding solutions for challenging problems both individually and collectively. Deep understanding of computer science fundamentals and applications. Looking for someone who enjoys working in a fast paced learning environment.

Preferred Skills/Majors

  • BS, MS or PhD in Computer Science/Energy/Statistics or related fields and experience
  • Experience and knowledge of frontend and backend technologies, JavaScript, HTML/CSS, Node.js, Vue.js, Vuetify, AngularJS, iOS application development, Unit Testing frameworks and MVC frameworks
  • Experience and knowledge of code collaborations such as Git
  • Experience with Google Cloud Platform frameworks such as Google Cloud App Engine, Google Cloud Storage, Google Cloud Compute Engine, Kubernetes Engine and Docker
  • Experience with integrating machine learning models in web applications as REST APIs
  • Self-driven, with good project management and organizational skills
  • Good analytical skills