Sound knowledge of software design and development practices, automation pipelines, build environments is required.
● Good background in machine learning algorithms and AI is required.
● The candidate must be able to develop and document test plans and test cases.
● Background in software automation using Python, Expect, and TensorFlow is required.
● Ability to write scripts to automate manual tasks on the network is required. Ability to customize scripts and run experiments, generate reports and dashboards is required.
● Good knowledge of SW APIs and SW integration tools is required
● The candidate will generate throughout/KPI/other performance metrics and statistics for the devices being tested, compile test reports, to help prepare presentations. Good knowledge of statistical analysis is required.
● The candidate must have good problem solving skills.
● Good documentation skills are required.
Preferences:
● Good knowledge of TCP-IP, and L2 networking / switches, wireshark debugging tools is required. Familiarity with L3-networking / routers is a plus.
● Good knowledge of WiFi6 and/or other wireless protocols is a plus. ● Prior experience with wireline and wireless device testing is a plus.
● Familiarity with lab test equipment such as Spirent Test Center, IXIA, Octoscope or IxVeryWave is desired.
● Familiarity with or prior experience with Google development and test tools such as Bazel, and/or Blaze, TestTracker, Sponge is a plus.
● Familiarity with Google Cloud Platform and related services/APIs is a plus.
● Familiarity with Android development environment is a plus.