Software QA Engineer - Data Analysis and Test Operation

Highlights

• Validate NPU boards and full software stack from firmware to model serving.
• Analyze performance, power and stability data to catch quality regressions.
• Own quality reports that guide release decisions for AI inference hardware.

What they offer

• Build energy-efficient inference hardware in mass production with TSMC
• Collaborate across elite global ecosystem including Broadcom and SK Hynix
• Join low-ego, mission-driven team with high trust and autonomy

Ideal candidate

Analytical QA professional who enjoys running systematic evaluations and turning data into clear quality judgments, collaborating closely with developers to ensure reliable AI hardware.

Requirements

• Experience in software QA or test design and execution with scenario definition
• Ability to prioritize test scope considering normal, edge, and regression cases
• Ability to operate evaluations using Linux commands and provided test tools
• Ability to compare results using tables, CSVs, and dashboards and interpret variation
• Ability to read and adapt existing Python or Shell scripts for testing tasks
• Understanding of NPU boards, server environments, and FW/Driver/SDK relationships
• Clear documentation of reproduction conditions, expected vs actual results