Buzz Solutions

Details

Position: Software Engineering Intern
Location: Remote
Innovation Area: Storage, Transmission and Management
Position Type: TomKat Center-supported
Compensation: $8,500
Internship Term: 8 weeks

Apply Here

Buzz Solutions safeguards the world’s energy infrastructure by providing AI-based actionable insights and predictive analytics for power line and energy infrastructure inspections. We are disrupting the power utility industry by providing automation for inspection and maintenance operations for infrastructure, using our AI-powered software platform, and are a venture-funded startup looking for great talent to share our vision of energy industry transformation. Our solutions and technology allows the utilities to reduce current inspection operation costs by at least 50%, prevent power outages, prevent wildfires and manage their assets in an effective way. You will be working with a talented, passionate and hardworking team of engineers and product/project managers to build end-to-end Machine Learning products and pipelines that will be deployed for our customers in order to prevent issues such as power outages, forced shutdowns, impact of climate change on the aging grid infrastructure and preventing wildfires.

Responsibilities

Assist in developing and maintaining full-stack web applications that support computer vision and AI-powered productsBuild and enhance frontend features using modern JavaScript frameworks (e.g., React, Vue, or similar) to visualize AI outputs, analytics, and dashboards
Support backend development by implementing APIs and services (e.g., Python, Node.js, or similar) that interface with machine learning models
Work with computer vision pipelines by integrating model outputs (e.g., image/video inference results, metadata) into user-facing applications
Help design and optimize databases and data flows for storing images, annotations, model results, and application data
Collaborate with ML engineers to deploy and consume AI models via REST APIs or cloud-based services
Assist with testing, debugging, and performance optimization across the stack
Participate in code reviews and follow best practices for clean, maintainable, and scalable code
Support cloud infrastructure tasks such as basic deployment, monitoring, and CI/CD pipelines (e.g., AWS, GCP, Azure, or similar)
Document features, APIs, and workflows to support knowledge sharing across engineering teams
Work closely with product managers and designers to translate product requirements into technical solutions
Stay current with emerging trends in full stack development, AI, and computer vision technologies

Who Should Apply

Any Engineering student working towards a computer science degree. Ideally, a graduating student but will accept any student at any college level.

Required expertise

Knowledge in frontend and backend development.

Preferred Skills/Majors