System Power Test Engineer - Windows Platform

Qualcomm Incorporated   •  

San Diego, CA

Industry: Telecommunications


Not Specified years

Posted 165 days ago

This job is no longer available.

Job Overview
The Windows Platform Test team is looking for an engineer with broad System Power Testexperienceas well as the ability to develop test automation software.

Responsibilities include:

  • Development of API level as well as system level test plans and test content using Python
  • Development/Execution of functional/features tests for power/thermal SW and power/thermal characterization/optimization
  • Actively interact and work closely with power/thermal SW teams, automation framework developers & other test engineers in a team environment
  • Provide test results and characterization/optimization data to cross functional teams

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Preferred Qualifications

  • Experience with embedded Power or thermal testing
  • Experience with Python
  • Familiarity with Window OS architecture fundamentals
  • Outstanding technical problem solving and debugging ability
  • Development on embedded devices, including building, flashing, and debugging on-target
  • Written and verbal communications skills
  • Qualcomm Snapdragon HW experience
  • Experience with Windows Power Management Framework
  • Experience with Windows Driver and/or Firmware development
  • Experience with C# and/or C++
  • Familiarity with wireless communication protocols, GPS, Bluetooth, WLAN, multimedia
  • Experience using Source Code Management systems like GIT and Perforce
  • Self-starter and problem solver who is creative, enthusiastic, collaborative and innovative with debugging and communication skills.

Education Requirements
Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Preferred: Masters degree in Electrical Engineering, Computer Science, or related field.