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RF Propagation and Antenna Engineer for Mobile Network Performance Simulation M.F.D.

Ericsson

RF Propagation and Antenna Engineer for Mobile Network Performance Simulation M.F.D.

Ericsson

Rosenheim,Bavaria,Germany

·

On-site

·

Full-time

·

2mo ago

Required skills

Python

Go

Machine Learning

Join our Team

About this role

Join Ericsson Antenna Systems Rosenheim (Germany) as an RF Propagation and Antenna Engineer for Mobile Network Performance Simulation, where you'll combine antenna expertise and system-level thinking to improve real-world network performance. You will investigate how base station antenna products and emerging network developments affect coverage, capacity and user experience, and contribute to the development of simulation tools used for system analysis. Working closely with R&D, product managers and cross-functional teams, you will drive studies on antenna and system requirements and translate technical findings into actionable product and network recommendations.

What you will do

  • Perform technical investigations on the performance of base station antenna products and their influence on the network performance and new developments in the network
  • Contribute to the development of network simulation tools for system analysis
  • Drive and participate in studies regarding requirements of base station antennas and system solutions
  • Collaborate with cross-functional teams to identify new challenges and opportunities for antenna developments
  • Support product managers, R&D, business, and market units regarding product documentation, development, technical customer requirements, and further requests.

The skills you bring:

  • A Master’s or above in electrical engineering, communications engineering, or equivalent.
  • Excellent knowledge of channel modelling, cellular networks and MIMO systems
  • Advanced Python and MATLAB knowledge, experience in antenna simulations software like HFSS, CST
  • Experience in developing statistical models and solutions for predictive data analysis and machine learning
  • Good understanding of 3GPP and cellular networks. passive intermodulation
  • Strong understanding of RF- and antenna principles, understanding of base station antenna architectures, especially AAS products
  • Scientific expertise or work experience in research projects is an advantage
  • Work experience across interdisciplinary teams
  • Teamwork mentality
  • Strong analytical and problem-solving skills
  • Effective written and spoken communications skill in English. German language knowledge is an advantage

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.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive 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.

Primary country and city: Germany (DE) || Rosenheim

Req ID: 779836

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About Ericsson

Ericsson

Ericsson

Public

An information and communications technology company that offers network services

10,001+

Employees

Kista

Headquarters

$21.5B

Valuation

Reviews

3.9

22 reviews

Work-life balance

3.8

Compensation

2.5

Culture

3.2

Career

3.4

Management

3.1

65%

Recommend to a friend

Pros

Good work-life balance and flexible hours

Supportive colleagues and teamwork

Learning opportunities and innovative projects

Cons

Low compensation and salary concerns

Slow career progression and limited growth

Management transparency and leadership issues

Salary Ranges

99 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist

0 reports

$58,962

total per year

Base

-

Stock

-

Bonus

-

$50,014

$67,810

Interview experience

9 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit