"Senior Embedded and Machine Learning Software Development Engineer "

QualcommSan Diego, CA
$130,187 - $192,000

About The Position

This individual independently plans, performs the moderately-defined responsibility for the design, driver development, integration, test, debugging and validation of real time embedded software, embedded RTOS environment, embedded systems, embedded microcontroller firmware, communication protocols and platforms for wireless chipsets including features enabled by 3G, 4G, 5G, AI and/or other current and future technologies. Develops and debugs platforms in-addition to on target development. Identifies, evaluates, and implements tools and processes to continually improve the software development process. Provides support on customer issues and requirements to Software Application Engineers by providing input to project planning and timescales. Creates engineering documentation for intellectual property, prepares technical specifications and requirements. Works on data collection framework for data mining, data visualization and machine learning modeling to help dimension system resources along with improving embedded software algorithms and solutions. Acts as a strong contributor at design reviews and project meetings.

Requirements

  • Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field.
  • Experience with real-time embedded software, embedded RTOS environment, embedded systems, embedded microcontroller firmware, communication protocols and platforms for wireless chipsets.
  • Experience with features enabled by 3G, 4G, 5G, AI and/or other current and future technologies.
  • Experience with data collection framework for data mining, data visualization and machine learning modeling.
  • Experience improving embedded software algorithms and solutions.
  • Experience contributing at design reviews and project meetings.

Responsibilities

  • Design, driver development, integration, test, debugging and validation of real time embedded software, embedded RTOS environment, embedded systems, embedded microcontroller firmware, communication protocols and platforms for wireless chipsets.
  • Develops and debugs platforms in-addition to on target development.
  • Identifies, evaluates, and implements tools and processes to continually improve the software development process.
  • Provides support on customer issues and requirements to Software Application Engineers by providing input to project planning and timescales.
  • Creates engineering documentation for intellectual property, prepares technical specifications and requirements.
  • Works on data collection framework for data mining, data visualization and machine learning modeling to help dimension system resources along with improving embedded software algorithms and solutions.
  • Acts as a strong contributor at design reviews and project meetings.
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