- Lead and execute end-to-end validation for thermal, liquid cooling, and power system technologies to support Meta’s AI hardware infrastructure.
- Collaborate with hardware design, thermal, and power engineering teams to define test strategies at a system level.
- Drive power and cooling system integration with datacenter tooling.
- Contribute to hacks to enable AI platform integration with next generation liquid cooling and power systems.
- Contribute to new feature development and validation across hardware/software stacks.
- Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
- Troubleshoot, diagnose and root cause system failures while working with internal and external partners.
- Leverage production experience to drive external and internal teams to continuously improve product quality.
- Communicate complex technical findings to diverse stakeholders at all levels.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 3+ years of experience in hands-on SW/FW/HW engineering to build systems/products for data center environments, or similar.
- Work experience in one or more domains such as: server hardware (system design, bring-up, characterization, validation), board level debug, firmware validation, system validation.
- Experience troubleshooting and debugging in production environments.
- Experience in developing test specifications, procedures, and debug guides for test solutions.
- Experience in liquid cooling or power system architecture/design/validation.
- Experience in thermodynamics and/or fluid mechanics.
- Knowledge of common bus protocols such as I2C, SPI, USB, and/or PCIe.
- Experience with Linux systems and server systems management.
- Experience authoring test plans for server systems for functional, stress and performance testing.
- 2+ years experience scripting automation in Python.
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