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As the tech firm that was instrumental in creating the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology and communication. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Come and be where it begins.
Job Responsibility:
Developing, debugging and testing 5G features
Development is focused on baseband Layer 2 software
Working with a software development team
Developing/debugging software tools which support developer’s needs, such as command-line and web-based tools, 5G log analysis tools, trouble reporting tools, debug tools, software management tools, etc
Working with a software development team on 5G related production and test software
Developing the infrastructure to support 5G automated testing and developing automated test cases to test new 5G software features
Areas where test development is focused include Layer 1, test framework and 5G features
Developing tools and automation to support vDU integration and testing activities
This includes, but not limited to, documentation of onboarding and troubleshooting guides, test channel bring up and maintenance, test channel database development, PM/KPI analysis tool development, data visualization and many others
Improving the test development experience by leveraging AI which involves Gen AI powered tool functionality testing
This includes, but is not limited to, generating boilerplate code templates to streamline test creation, identifying inefficiencies in current processes, documenting/presenting findings and improving test automation workflows, exploring use cases for test development, and collaborating with the AI tools team to develop and test new functionalities
Experimenting with prompt engineering and fine-tuning AI models to optimize their application in test case generation
Exploring and implementing mathematical and statistical methods on time-series data to verify software features in 5G development
Working with 5G domain experts to solve software development challenges using AI and advanced analytics
Development of analytics APIs and data pipelines to track and analyse 5G feature performance and behavioural patterns for 5G products
Working with 5G domain experts, apply your programming skills to solve software development challenges and improve developer workflows
Requirements:
Software development and debugging skills with an academic background in Computer Science, Software Engineering, Communications Engineering, Electrical Engineering or equivalent
Working towards completion of a bachelors, masters, or doctoral degree
Entering any coop term (1st, 2nd, …)
Interpersonal skills: Team player, independent, self-starter, organization skills, detail oriented and able to work in a dynamic environment
Effective English oral and written communications skills
General knowledge of LTE and/or 5G wireless protocols are helpful
2.7+ GPA or equivalent , Uploading an unofficial copy of your transcript
Actively enrolled in an accredited undergraduate, master’s, or PhD on a full-time basis at a four-year college or university at the time of the co-op
Be available to work 40 hours per week
Nice to have:
Strong mathematical foundation (statistics, linear algebra, calculus)
Proficient in Python with data science libraries (pandas, numpy, scipy, statsmodels)
Experience with time series analysis techniques
Team-work mindset
Strong programming foundation, language experience preferred python, java, go, or julia
Understanding of backend/frontend development principles
Experience with REST API design and implementation using modern frameworks (FastAPI, Flask, or similar)
Optional: Understanding of cloud platforms (AWS) and containerization
Team-work mindset
It is beneficial to be familiar with AI tools and frameworks such as OpenAI, and Codeium TensorFlow, as well as having knowledge of prompt engineering techniques to tailor AI models for test generation and debugging workflows