Similar Jobs at Ericsson
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Data Center Engineer is responsible for optical testing, hardware replacement, cabling, troubleshooting, and ensuring optimal data center operations.
Top Skills:
BertCat 5Cat 6EthernetEthersamFiber Optic CablingIperfOptical Power MeterOtdrRfc2544Stabilized Light SourceVfl
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
This role involves performing access management, automation, web programming, and server maintenance, focusing on RAN optimization and software development.
Top Skills:
DjangoJavaScriptLinuxPerlPythonShell
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
As a Senior AI Analytics Engineer, you'll design and maintain ELT pipelines, develop dbt models, ensure data quality, and support AI initiatives for financial decision-making.
Top Skills:
Claude CodeDbtEltETLFivetranPythonSnowflakeSQL
Grow with us
Machine Learning for Wireless Communication Systems & Embedded Systems
Location: Austin, TX
Duration: 12 weeks
Start Date: May 26, 2026
Accepting applications until 3/13/2026
Upload an unofficial copy of your transcript
Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position.
About this opportunity:
As an intern in our team, you'll dive into the fascinating intersection of machine learning, wireless communication systems, and embedded technologies. This internship offers an exciting opportunity to collaborate with experts in the field, learn from real-world projects, and contribute to the development and optimization of Ericsson baseband products.
What you will do:
The skills you bring:
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 [email protected] .
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) || Austin
Job details: Developer
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.
Machine Learning for Wireless Communication Systems & Embedded Systems
Location: Austin, TX
Duration: 12 weeks
Start Date: May 26, 2026
Accepting applications until 3/13/2026
Upload an unofficial copy of your transcript
Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position.
About this opportunity:
As an intern in our team, you'll dive into the fascinating intersection of machine learning, wireless communication systems, and embedded technologies. This internship offers an exciting opportunity to collaborate with experts in the field, learn from real-world projects, and contribute to the development and optimization of Ericsson baseband products.
What you will do:
- Contribute to the design and implementation of Ericsson baseband software for improved functionality and performance.
- Assist in the development and testing of 5G baseband wireless communication systems.
- Design, develop, and optimize embedded systems for wireless communication, ensuring efficiency and reliability.
- Collaborate with cross-functional teams to integrate AI and machine learning models into embedded systems.
- Research and evaluate emerging technologies and standards in wireless communication and AI to drive innovation.
- Contribute to the development of algorithms and protocols for signal processing and data analysis in wireless systems.
- Working with agile methodologies to adapt to changing project needs, iterate on designs, and deliver incremental improvements.
The skills you bring:
- PhD Electrical Engineerig, Computer Science or related field.
- 2.7+ GPA on a 4.0 scale or equivalent.
- Be available to work 40 hours per week during the summer term.
- Basic understanding of wireless communication systems and protocols.
- Proficiency in Python, C, and C++ programming languages.
- Knowledge of artificial intelligence, machine learning, and data science concepts.
- Experience with TensorFlow, Pandas, or similar data processing libraries for data analysis.
- Knowledge on LTE/5G.
- Layer 1 and Layer 2 wireless communication systems knowledge.
- Familiarity with signal processing techniques in the context of wireless communication.
- Familiarity with embedded systems development and hardware/software interfaces.
- Experience working in Linux-based OS, and terminal commands.
- Knowledge of version control systems (e.g., Git).
- Strong problem-solving abilities and analytical skills.
- Excellent communication and teamwork skills.
- Ability to adapt and thrive in a fast-paced, collaborative environment.
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 [email protected] .
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) || Austin
Job details: Developer
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.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
