GPU Thermal Lab and Data Engineer
NewBe an early applicantSummary
This engineer runs thermal, mechanical, and acoustic validation of GPU platform cooling solutions in a lab, operating server-based GPU test environments via headless Linux. Day to day they build Python test automation, analyze lab and manufacturing data, and collaborate with firmware, BIOS, and driver teams.
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.