Zealogics Inc is hiring a
RF Engineering Manager

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Zealogics Inc

πŸ’΅ ~$91k
πŸ“Remote - Worldwide

Summary

The job is for an RF Engineering Manager with 5-10 years of experience in RF testing, primarily LGA. The role involves developing test plans, characterizing RF devices, conducting reliability testing, analyzing data, mentoring team members, and staying updated with the latest RF testing technologies.

Requirements

  • Master's or Ph.D. in Electrical Engineering or a related field
  • Minimum of 5-10 years of hands-on experience in RF testing
  • Proficiency in RF test equipment and software (e.g., network analyzers, spectrum analyzers, power meters, oscilloscopes)
  • Strong programming proficiency (C++, Python, Matlab, Perl) and in-depth understanding of ATE testing methodologies
  • Strong understanding of RF circuit theory and measurement techniques
  • In-depth knowledge of RF testing standards and methodologies

Responsibilities

  • Develop and execute test plans
  • Perform in-depth characterization of RF devices
  • Conduct bias controller tests involving ADC and DAC characterization
  • Execute reliability testing as required
  • Support bench to ATE correlation
  • Analyze test data, identify anomalies, and collaborate with engineering teams to resolve issues
  • Maintain accurate and detailed test documentation
  • Stay up-to-date with the latest RF testing technologies and industry standards
  • Travel to international sites, such as Taiwan, for project support as needed
  • Collaborate closely with design engineering to optimize product testability and manufacturability
  • Drive ATE bring-up, optimization, and production ramp-up, adhering to industry best practices and GRR methodologies
  • Optimization of hander settings for best RF performance
  • Analyze test data to identify process improvements, yield enhancement opportunities, and cost reduction strategies
  • Mentor and develop team members, fostering a culture of technical excellence and innovation

Preferred Qualifications

  • Experience with reliability testing methods
  • Knowledge of scripting languages (e.g., Python, MATLAB) for test automation
  • Experience with statistical data analysis tools

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