AI Software Engineer Intern

Grow with us

Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1''s, H-1B1''s, E-3''s, O-1''s, and TN''s. Ericsson also does not hire F-1''s working on CPT or EAD for this position.

AI Software Engineer Intern

Location: Plano, TX

Duration: 12 weeks

Start Date: May 25, 2027

About this opportunity:

Join Ericsson as an AI Software Engineer Intern, an integral role where you will have the opportunity to manage and implement integration services. This role involves executing test cases to verify the flow and function of an integrated system. Heightened attention towards group directives, legal, and financial obligations will ensure compliance and efficiency. You will also play a key role in maintaining and implementing E+OHS, data security, and privacy processes and tools on a global and local scale.

What you will do:

• Learn and test different Automated recompilation tools
• Recompile multiple Software code languages (C/C++, ASM, PL/I) to JAVA using Automated tools
• Create and test scripts to manipulate and map data across different repositories.
• Participate in Microservices development, automation and testing.
• Learn to create and use Helm Charts to deploy applications to Kubernetes clusters.
• Work with team members in an Agile environment.

The skills you bring:

• Minimum 2.7 GPA (or equivalent); please upload an unofficial transcript
• Actively enrolled full-time in an accredited undergraduate, master's, or PhD program at a four-year college or university at the time of the internship
• Available to work 40 hours per week
• Classroom or previous intern skills in Java and Java Scripting
• Continuous Integration/Continuous Development (CI/CD) knowledge or experience including (e.g., Git, Gurmit)
• Knowledge of and previous experience with Cloud (Azure or AWS) based solutions
• Oracle SQL with understanding of data management
• Experience or knowledge of Agile framework and methodology
• Understand Automation relative to software (such as testing automation)
• Strong communication and teaming skills

Preferred:

• Knowledge and experience in C/C++ and Python
• Understanding of Helm Charts
• Experience with Kubernetes
• Experience with Data management
• Experience with Automation tools

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: United States (US) || Plano (Country/ City)

Job details: Integration Engineer

Compensation and Benefits at Ericsson

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.