FAQs
What are the responsibilities of the Network Software Engineer Intern?
The responsibilities include improving data center network availability and efficiency through software development, developing network monitoring infrastructure, creating network troubleshooting tools, and collaborating with the network operation and maintenance team.
What is the duration of the internship?
The internship runs for 12-24 weeks and begins in May/June 2025.
What are the minimum qualifications to apply for this internship?
Candidates must be pursuing a Bachelor's degree in Computer Science, Network Engineering, or a related technical discipline, be able to commit to working for 12 weeks during Summer 2025, obtain work authorization in the country of employment, and have familiarity with common network protocols and programming languages such as C++, Python, Go, or Java.
Are there any preferred qualifications for candidates?
Yes, preferred qualifications include graduating December 2025 onwards with the intent to return to a degree program after the internship, demonstrated software engineering experience, and high levels of creativity and quick problem-solving capabilities.
What is the pay range for this internship?
The hourly rate range for this position is $45-$60.
What benefits do interns receive?
Interns have access to health insurance, life insurance, wellbeing benefits, 10 paid holidays per year, and paid sick time.
When will my application be reviewed?
Applications will be reviewed on a rolling basis, so it is encouraged to apply early.
Is there a limit to how many positions I can apply for?
Yes, candidates can apply to a maximum of two positions and will be considered for jobs in the order they apply.
What start dates can I choose from for the internship?
The available start dates are May 12, May 19, May 27 (Memorial Day), June 9, and June 23, 2025.
Is there an emphasis on collaboration within the team?
Yes, team members are distributed across different countries and cities, and collaboration occurs remotely with a goal-driven approach.