Mobile Software Tester (Korean Bilingual) AO7167881

BTI Solutions•Bellevue, WA

1d•Onsite

About The Position

We are seeking a Mobile Software Tester with Korean bilingual skills to join our team. This role involves extensive travel to test sites, requiring 4 out of 5 days per week to be spent in a car. The position is fully onsite and demands a strong understanding of telecommunications, device testing, and software troubleshooting.

Requirements

A Bachelor’s Degree in telecommunications or computer science related field.
5+ years of experience
Hands-on experience with field test tools (e.g., QXDM, QCAT, TEMS, Nemo, or similar)
Telecom knowledge
Device testing experience
Between 3-5 years technical or telecommunications engineering related experience.
Previous experience with operating systems, such as: Windows, MAC, Linux

Nice To Haves

Prior experience with CDMA, EVDO, LTE, 5G NR desired.
Prior experience with Qualcomm tools such as QXDM, QCAT, and QPST desired.
Prior experience with post processing tools such as WindCatcher, Actix, or XCAL/XCAP-M desired.
Prior cell phone testing experience desired.
Previous experience with Spirent/Metrico tools such as NOMAD, MUSE, and Datum is desired.
Previous experience running FIT test plans for Verizon, US Cellular, or other US NMO’s is desired.

Responsibilities

Testing QA specified field interoperability test plans (FIT)
Testing/troubleshooting hardware, software, embedded software used in wireless voice and data networking.
Performing sanity testing, stability testing, functionality testing, stress testing and feature testing on various devices.
Performing lab tests and evaluating new wireless products and accessories, including verification of product features by simulating of a variety of customer applications.
Preparing test results data and writing required engineering reports to ensure products compliance with requirements and test plans.
Working effectively with team members.
Designing, coding, and maintaining test scripts using Python, JavaScript, or similar languages.
Utilizing proficiency in AI/ML platforms and APIs (e.g., OpenAI, TensorFlow, PyTorch, Hugging Face, Azure AI Studio).