Job Description

Meta is seeking a Thermal Engineer Intern to join our Hardware Engineering team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. The intern will work closely with design engineers in the team to test and validate our fully customized server, power hardware and thermal technologies.

This is a 12 week internship based in Austin, Texas.

Responsibilities

Measure thermal performance of servers using proper tools and test plans and qualify operation.

• Develop and publish test reports and communicate findings to team members.
• Analyze and simulate server cooling schemes and thermal technologies.
• Execute tests according to plan while keeping a thorough procedural record and data log.
• Provide input on fan and pump control algorithm optimizations.
• Engage hardware team to ensure proper component design.
• Diagnose and root cause component failures.
• Perform CFD analysis to solve the thermal challenges in the server/storage/network/ power system.

Qualifications

Currently has, or is in the process of obtaining, a Bachelor’s degree in Mechanical Engineering or related field

• Knowledge of fluid dynamic and heat transfer (conduction/convection/radiation)
• Familiar with lab equipment, data acquisition systems, air flow benches, environmental chambers, and/or liquid testers
• Coding experience in Python, Matlab, and/or C/C++
• Experience in 1D flow network modeling software (Ex: Macroflow, Flomaster, Modelon, etc)
• Experience in 3D CAD or CFD software (Ex: Solidworks, Creo, Flotherm, Icepack, etc)
• Troubleshooting and analytical skills Currently has, or is in the process of obtaining, a Masters or PhD degree in Mechanical Engineering or related field
• Experience with Linux and/or command line interface
• Experience performing thermal optimizations of heat sink, fans, and/or cold plates
• Knowledge of fluid dynamics, flow boiling and heat transfer of refrigerant
• Familiar with AI/ storage/ network/ power architecture and components
• Familiar with data center architecture and environments