ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Ericsson
This Master Thesis opportunity at Ericsson focuses on exploring cloud-native technologies, automation, and APIs to simplify the creation, management, and lifecycle of lab building blocks. The role involves investigating, designing, and prototyping a cloud-native solution to enhance the efficiency and scalability of telecom development and verification environments. The selected candidate will analyze current workflows, develop a prototype with API integration, and present their findings to the Ericsson team.
Ericsson is a Swedish multinational telecommunications company that designs, builds and operates mobile and fixed broadband networks and sells related equipment and services to carriers and enterprises. Its offerings span radio access networks (RAN), 5G core and transport, cloud‑native software, OSS/BSS, managed services, private networks, and IoT solutions, with a strong emphasis on 5G deployment and network automation. Ericsson combines hardware, software and professional services to support large‑scale network rollouts, optimization and operation worldwide. It is a major contributor to telecom standards and R&D, widely chosen for its global scale, patent portfolio and carrier expertise.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Ericsson.
Ericsson didn’t post a salary, so this is our estimate from similar listings.
62% below the average for this role
Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud
Bo-Sch Group
Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud
Bosch
Master Thesis Automated Scalable Deployment of Predictive Maintenance in Cloud
Bosch
MS Core and Cloud Specialist(5)
USAJOBS
Cloud‑Native Networking & Platform - Lead Cloud‑Native Networking & Platform engineer
Fandom
Cloud-Native Architect
Bright Vision Technologies