At MegaCool Technologies, we aren't just making parts; we are solving the most physical bottleneck in the AI revolution: Heat.
While traditional data center cooling is reaching its physical limits, we’ve developed ultra-performant Smartfins technology using proprietary generative algorithms.
We are a lean, fast-moving startup bridging the gap between high-level software intelligence and massive-scale hardware manufacturing.
If you believe that a design isn't real until it has been stressed, measured, and validated in the lab, you belong here.
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The Role
As our Validation & Experimental Engineer, you are the "Truth Seeker."
You are responsible for designing and building the high-stakes environments that prove our technology's performance.
You won't just be following a test plan; you will be the architect of our experimental ecosystem, building:
* High-pressure liquid loops
* Complex multi-zone Thermal Test Vehicles (TTVs)
This is a high-autonomy role where you own the data flywheel that validates our generative designs.
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Key Responsibilities
Architect the Validation Ecosystem
Design, procure, and build state-of-the-art high-pressure liquid loops and complex multi-zone TTVs to simulate the extreme environments of next-gen GPUs.
Automate the Data Flywheel
Develop and maintain autonomous data acquisition workflows using:
* NI DAQ hardware
* Python
* LabVIEW
Ensure high-frequency sensor data is processed at the speed of our hardware refresh cycles.
Master of Metrology
Lead non-intrusive flow measurement and Infrared (IR) thermography initiatives to capture the "invisible" physics of our Smartfins in action.
Close the Loop
Work closely with our CFD and R&D teams to correlate experimental data with numerical models, ensuring our "Digital Twin" is grounded in physical reality.
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The Essentials
Advanced Academic Foundation
An MSc or PhD in:
* Experimental Physics
* Thermal Engineering
* Fluid Dynamics
* Or a related field
Hands-on DNA
You are as comfortable with a wrench and a soldering iron as you are with a keyboard.
You have a proven track record of building physical test rigs from scratch.
Data Science Proficiency
Expert-level knowledge of:
* NI DAQ hardware
* LabVIEW
* Python (pandas, SciPy)
Strong ability to build autonomous data processing workflows.
Metrology Expertise
Deep experience with:
* IR thermography
* Advanced fluid measurement techniques
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The "Extra Mile"
* Experience in semiconductor, aerospace, or data center cooling sectors
* Familiarity with high-pressure fluid system safety and design standards
* Experience scaling a "stealth" lab environment into a world-class validation facility
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Why Join Us?
Full Ownership: You aren't just running tests; you are building the lab and defining the validation strategy for a category-defining technology.
No Red Tape: We move at the speed of the hardware we cool. If you need a specific sensor or a new rig to prove a concept, we make it happen.
Global Impact: Your data is the final proof required to deploy our energy-saving technology at a global scale.