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.
WhatYou’llDo
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, andmonitoringto 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
WhatWe’reLooking For
Required Qualifications
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 learnnew technologies
Good communicationand collaboration skills
Comfortable using AI tools toassistwith coding, debugging, testing, learning, and documentation
Preferred Qualifications
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 asFastAPI, 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
What Makes Someone Successful in This Role
Learns quickly and adapts easily
Takes initiative without needing constant direction
Enjoys solving problems, even outside their comfort zone
Thinks about the end user and overall product experience
Can work acrossdifferent partsof the stack when needed
Uses AI tools thoughtfully without depending on them blindly
Pays attention to quality and maintainability
Collaborates well with others and communicates clearly
Demonstrates ownership and accountability
We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.
Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.
We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.
We are a passionate and diverse group of thought leaders, creators, and developers across all disciplines dedicated to changing how people protect and connect with the people and things they love.
Arlo is an award-winning, market leader in the smart home IoT category that is focused on bringing together deep expertise in product design, wireless connectivity and RF engineering, cloud infrastructure and leading-edge AI capabilities to create a seamless smart home experience for Arlo users that's easy to setup and a joy to interact with every day.
