Software Engineer Intern - Generalist

Arlo•Milpitas, CA

About The Position

About Arlo: At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day. About the Role We are looking for a Software Engineer Intern who is curious, adaptable, and excited to learn. This is a generalist full-stack engineering role for someone who enjoys solving problems, picking up new technologies quickly, and contributing wherever needed. You’ll work on real projects across frontend, mobile applications, backend services, APIs, cloud infrastructure, automation, internal tools, and AI-powered workflows. We care less about whether you already know a specific framework and more about your ability to learn, think critically, and build useful software. We’re looking for someone who enjoys building things, takes initiative, and is comfortable stepping into unfamiliar areas when needed.

Requirements

Pursuing a BS or MS in Computer Science, Software Engineering, Data Science, or a related field
Strong programming fundamentals and problem-solving skills
Understanding of: Data structures and algorithms
Object-oriented programming
Basic software design principles
Frontend and backend development concepts
Familiarity with one or more programming languages such as: Python
JavaScript or TypeScript
Java
Go
Basic understanding of: HTML and CSS
REST APIs
SQL databases
Client-server architecture
Strong curiosity and willingness to learn new technologies
Good communication and collaboration skills
Comfortable using AI tools to assist with coding, debugging, testing, learning, and documentation

Nice To Haves

Experience building personal, academic, hackathon, or open-source projects
Familiarity with frontend frameworks such as React, Angular, or Next.js
Familiarity with backend technologies such as FastAPI , Node.js, Express, or Spring Boot
Exposure to cloud platforms, containers, or deployment workflows
Familiarity with Git and collaborative development workflows
Understanding of testing fundamentals and software quality practices
Experience using AI-assisted development tools effectively

Responsibilities

Contribute to full-stack software projects across frontend, backend, APIs, databases, and cloud services
Build user-facing applications, internal tools, backend services, and automation workflows
Work with different technologies and programming languages depending on the problem being solved
Learn new frameworks, tools, and systems quickly
Use AI-assisted engineering tools such as ChatGPT, Claude, Cursor, or GitHub Copilot to improve productivity and accelerate learning
Write clean, maintainable, scalable, and testable code
Debug issues and troubleshoot problems across systems and environments
Test thoroughly before shipping code, including edge cases, failure scenarios, performance, and reliability considerations
Participate in code reviews and technical discussions with a strong focus on software quality and long-term maintainability
Instrument applications with logging, analytics, metrics, and monitoring to help measure reliability, performance, and customer impact
Monitor production systems, investigate issues, and help drive problems to resolution
Think beyond implementation and focus on business outcomes, customer experience, performance, reliability, and operational excellence
Take ownership of tasks and projects from design and implementation through testing, deployment, production rollout, and post-release monitoring
Collaborate closely with engineers, product managers, designers, QA, and other stakeholders to deliver high-quality software end-to-end
Continuously improve engineering processes, tooling, automation, testing, and developer workflows