This position involves testing of sensor related software, HW and development of automated test cases with the following responsibilities:
Review requirements and designs, define test requirements and test plans.
Test development, execution, troubleshooting and problem resolution on embedded devices integrating sensors HW. Depending on the phase of the project, the focus is in verifying sensor performance against the data sheets at native API level, validation of algorithm performance offline and within target or validating the actual user experience in Qualcomm or customer target HW.
Bring-up and initial regression testing of new sensor SW and HW releases. This covers supporting the initial bring-up, verifying the initial HW design and creation of efficient regression test cases to validate the performance of the HW/SW implementation in highly integrated chipset environment.
Focus is in verifying sensor related APIs at native or 3rd party OS level (Android Wear).
Verify the successful interaction and concurrency with other chipset features.
Define manual and automated test cases to be executed using our automation frameworks, implement them using Perl and verify them and add to the automation test suites we execute for each PL.
Track the status of test execution and open bugs, prioritize issues for the development and drive the successful commercialization of a certain SW release or feature.
Interact in a team environment with various SW, system, HW, test and test framework teams.
This is a challenging position offering a unique opportunity to work on the successful commercialization of leading edge sensor and wearable technologies in a fast-paced environment.
3-6 years of work experience, testing embedded systems, software and APIs.
Good understanding of test methodology and test processes, including requirements collection, test plan development, execution and error tracking.
Hands-on debugging skills in the lab using standard lab equipment (scopes, multi meters, voltage sources, sensor specific measurement equipment, basic hand tools) to debug the system.
Experience in developing test automation with strong programming skills (in Perl).
Detail oriented, thorough and analytical approach required with excellent communication skills.
Ability to time-share and prioritize between multiple tasks is crucial.
Bachelor's/Masters in Computer Science and/or Electrical Engineering