GPU Thermal Lab and Data Engineer

Key Responsibilities: - - - - - - Execute thermal, mechanical, and acoustic validation for platform thermal solutions, including test method improvements and data collection. Set up, configure, operate, and troubleshoot server-based GPU validation environments, using headless Linux, SSH, and remote-access tools to resolve system-level issues. Partner with Thermal Mechanical Design, software diagnostics, BIOS, driver, and platform teams to validate GPU thermal features, fan-control approaches, and heatsink readiness. Collaborate with firmware architects to validate, debug, and prototype GPU thermal-management and fan control features using Python-based tools and an understanding of low-level firmware. Develop Python-based test automation and data-analysis tools. Support the development of data analysis pipelines to collect, process, analyze, and visualize low-volume lab validation and high-volume manufacturing data. Required Qualifications: - - - - - - Hands-on experience assembling, configuring, troubleshooting, or maintaining PCs and/or servers. Strong familiarity with PC hardware and GPU terminology. Familiarity with headless Linux command-line workflows, including SSH, tmux, and remote access. Experience using Python for scripting, automation, data analysis, or engineering workflows. Basic physics understanding of heat transfer, airflow pressure & flow rate, mechanical stress & strain, and acoustics. Experience with data analysis required. Experience with high-volume data engineering is a plus. Preferred Qualifications: - - - - - Experience in computer hardware, hardware validation, or computer engineering lab environment. Experience with lab data acquisition equipment: data-acquisition systems (DAQs), oscilloscopes, thermal sensors, mechanical sensors, and acoustic measurement equipment. Familiarity with C, C++, or other systems-programming languages is a plus. Experience working with test automation, telemetry, manufacturing data, or hardware performance data. Experience applying Agentic AI tools to test-data analysis or lab-workflow automation is a plus.