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Quality Engineer 5

Plano, TX 75023

Posted: 04/05/2021 Industry: Network / Systems Job Number: 11593

Job Description


Position: Quality Engineer V

Location:   Remote (position is based out of Plano, TX)

Duration: 13-months +

Must Haves:
  • 5+ years of professional experience in RAN Engineering with preferable 2 years’ experience in Data Science supporting the statistical analysis of the performance data.
  • Looking for relevant experience in troubleshooting performance issues and experienced in analyzing large data sets using statistical methods.
  • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions and to build product synergies across all product elements.
  • Strong technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G.

Specific Responsibilities include:
  • 10+ years of professional experience in RAN Systems & RF Engineering
  • Proactive monitoring in identifying Key KPI degradation for VoLTE, 4G/5G technologies and analyzing the root cause of degradation.
  • Analyzing changes in service impacting parameters and alarms and analyzing their impact on KPIs
  • Working closely with Tier-3 team in troubleshooting and resolving internal performance tickets
  • Focus on VoLTE KPIs to improve muting and drop calls with focus on optimizing handovers and minimize factors such as RRE which impacts muting.
  • Work closely with the internal and external stakeholders to define 4G/5G KPI measurement methodologies and targets (KPI, KQI) for 4G/5G RAN product acceptance.
  • Work closely with stakeholders to help build products that help utilize large amount of structured & unstructured data in analyzing network performance.
  • Ability to use statistical languages such as R, programmable languages such as python and data visualization tools such as Tableau/Spotfire to analyze large datasets and present information to stakeholders
  • Proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products
  • Communicate key findings to stakeholders using visualizations and/or other suitable methods
  • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions and to build product synergies across all product elements
  • Demonstrate ability to analyze and interpret a mix of qualitative and quantitative data using various data sources, construct compelling narratives, and provide actionable insights and recommendations on complex topics.
  • Excellent verbal and written communication skills to communicate key technical concepts, ability to package complex ideas into logical, easy-to-follow progressions.
  • Adapt to changes in a dynamic business environment, support management initiatives, and guide other engineers.
  • Present ideas, technical and non-technical, in a logical, compelling manner in a written format and verbally in both small and large group settings

Background & Competencies Required:
  • Bachelors Degree in Electrical Engineering; Advanced degree in Data Science or a related Data Engineering, or equivalent experience is beneficial
  • Strong technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and 5G
  • Must possess expert-level understanding of operational measurements/counters to monitor and define Key Performance Indicators (KPIs)
  • Experience with evaluating service performance trends and proactively defining RAN system performance related issues
  • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies.
  • Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices
  • Successful record of accomplishment defining direction and providing specific instruction for engineering projects/programs leveraging personal knowledge and organizational skills to increase team efficiency, facilitate personal development and mentor colleagues.
  • Working knowledge of statistical concepts (distributions, hypothesis testing, confidence intervals) and experience applying to real-world applications
  • Demonstrated research and problem solving skills via prior work experience.
  • Experience with wireless infrastructure provider and/or operator is desired
  • Must have a strong work ethic, integrity and work extremely well in a team environment


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