RF Design and optimization engineer

2 weeks ago


plano, United States Intellectt Inc Full time

We are seeking an experienced RF Optimization Engineer to lead and enhance the performance of indoor wireless networks. The role involves optimizing network deployments, analyzing performance data, and ensuring top-tier connectivity for various indoor venues such as offices, hospitals, warehouses, factories, and stadiums. You will act as the primary point of contact for customers, leading engineering teams and collaborating with stakeholders to meet project goals.


Key Responsibilities:

Network Performance & Optimization:

  • Optimize and monitor the performance of indoor wireless networks.
  • Analyze and process RF walk test data to identify and resolve network issues.

Indoor Deployment Expertise:

  • Familiarity with Active DAS solutions (e.g., Commscope, Corning) and small cells.
  • Hands-on experience with various indoor environments like business offices, hospitals, stadiums, etc.


Technical Skills:

  • Proficient in LTE and NR network design, performance metrics, and throughput/SINR requirements.
  • Expertise in Ericsson RF optimization tools and processes.

Data Analysis & Troubleshooting:

  • Review walk test data using tools like TEMS and perform deep-dive analysis.
  • Recommend parameter changes to enhance network performance.

Client Interaction & Team Leadership:

  • Act as the main point of contact for customers in assigned regions.
  • Communicate project scope, timelines, and deliverables effectively.
  • Lead remote engineering teams to achieve project goals.


Key Qualifications:

  • Experience:

6-8 years of experience in RF engineering.

At least 3 years of hands-on experience with indoor deployments and optimization.

  • Technical Proficiency:

Proficiency in iBwave (Level 2 certification preferred).

Strong knowledge of Active DAS commissioning and optimization requirements.

Familiarity with RF design and optimization tools like TEMS.


Education:

  • Bachelor’s degree in Electrical or Computer Engineering (BSEE/BSCS) required.
  • Master’s degree (MSEE/MSCS) is a plus.



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