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Title:  Software Engineer Intern (June/July start)


CommScope is pushing the boundaries of communications technology. For more than 40 years, we’ve been leaders in innovating 5G, private networks and Gigabit speeds everywhere – we're always anticipating what’s next. Developments such as the Internet of Things, seamless connectivity, Cloud and 5G introduce new requirements and demand creative thinking. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. 


Ruckus is a Business Unit within CommScope, focused on delivering cutting edge solutions to build a smarter, simpler, more connected world. At the heart of global connectivity are the engineers who write innovative software for our award-winning routing and switching products to bring the information quickly and reliably where needed. We are a pioneer in the wireless infrastructure market, enabling carriers and enterprises to stay ahead of the exploding demand for high-bandwidth applications and services Our Ruckus Smart Wi-Fi, LTE, and Switching technology redefines what’s possible in wireless network performance with flexibility, reliability, and affordability. 


The Team 

During this internship, you will work with a dynamic and focused team to develop state-of-the-art applications for Analytics and Artificial Intelligence (AI) in Wireless Networking. You will be using cutting-edge technologies to develop applications on top of a highly scalable and robust cloud architecture. This is an exciting opportunity to be involved in the next technology trend: Analytics & AI in Wireless Networking. 


Required Experience:

  • Strong background in software engineering and computer science.
  • Strong knowledge in JavaScript frameworks, e.g., ReactJS, Node.js.
  • Some knowledge in building web applications for desktop, mobile.
  • Interest or experience in Relational databases, e.g., Postgres.
  • Interest or experience in DevOps technologies, e.g., Docker, Kubernetes.
  • Interest or experience in Big Data tech stack, e.g., Apache Spark, Kafka, HDFS.
  • Interest or experience in Machine Learning and Analytics techniques.



Additional information:

  • Working hours: 10am - 6:00pm Monday to Friday
  • On-the-job / virtual training and coaching will be provided
  • Full spectrum of benefits plan coverage
  • Competitive annual Base + Bonus scheme
  • Great team with a Silicon Valley culture


Job Segment: R&D Engineer, R&D, Software Engineer, Cloud, Entry Level Engineer, Engineering, Research, Technology

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