[2025] Software Engineer, Networking - New Grad

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26 days old

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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. 

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

As an Engineer on the Network team, you will have the unique opportunity to design and build systems that ensure the reliability and automation of Roblox’s datacenter, backbone, and edge networks, which support all of Roblox’s production services. You will be part of a team developing next-generation High Performance Compute Clusters, AI/ML networks, and large-scale data center network designs to meet the challenges of serving millions of users.

Automation and continuous improvement are key to meeting our demands. In this role, you will be responsible for developing and deploying network designs, automation systems, and network performance improvements across our production network.

You Will:

  • Design and maintain automation solutions to enhance the efficiency and reliability of Roblox's data center and backbone networks.
  • Collaborate with network and infrastructure teams to develop scalable systems and architectures.
  • Build monitoring systems to diagnose and optimize network performance.
  • Develop APIs and tools to automate network interactions and event mitigation.

You Are:

  • Possess or pursuing an undergraduate or graduate degree in Computer Science, Networking Engineering, or a related field.
  • Proficient in one or more programming languages such as Golang, Python, C#, or C++.
  • Understanding or interest around computer networking concepts and protocols
  • Willing to learn new concepts related to network design and management
  • Basic understanding of Linux network tools and network devices

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.

Annual Salary Range
$150,120$150,120 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

You’ll Love: 

  • Industry-leading compensation package
  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy (varies by exemption status)
  • Roflex - Flexible and supportive work policy 
  • Roblox Admin badge for your avatar
  • At Roblox HQ: 
    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
    • Onsite fitness center and fitness program credit
    • Annual CalTrain Go Pass

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.