Principal Software Engineer

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 want to see your code manifest as physical hardware deployed at a global scale, you belong here.

The Role
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As our Principal Software Engineer, you will lead the design and development of our digital backbone from scratch.

This is a high\-autonomy, high\-impact role where you define the "how" and the "why" of our technical architecture.

You are a methodical problem\-solver who thrives in a design\-driven, rapid\-iteration environment.

Your mission is to translate "impossible" thermal problems into a secure, scalable, and maintainable SaaS platform that handles complex data interactions at the speed of the GPU refresh cycle.

Key Responsibilities
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• Shape Technical Architecture

Own the blueprint. Define, communicate, and guide architectural decisions to ensure our platform is resilient, fault\-tolerant, and future\-proof.

• Ship with Velocity

Find the path to get things done despite roadblocks. You will deliver high\-quality, well\-tested, and secure code into the hands of users quickly and iteratively.

• Elevate Engineering Standards

Champion clean code and robust testing frameworks. You don't just write code; you set the "gold standard" for the entire engineering culture.

• Own the DFM Loop

Work at the intersection of software and physics, collaborating with mechanical engineers to integrate our "Smartfins" logic into a seamless cloud experience.

• Automate \& Scale

Implement DevOps best practices, including CI/CD pipelines and orchestration tools, to enhance the deployment of our solutions.

• Leverage Next\-Gen Tools

Accelerate the development lifecycle by expertly using AI\-assisted tools (Gemini, Claude, GitHub Copilot) for code generation, debugging, and unit testing.

What You Bring
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The Essentials
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• A Master’s Degree in Computer Science or a related technical field (or equivalent "battle\-tested" experience).


• 7\+ Years of Engineering Excellence: A proven track record of building large\-scale, customer\-facing SaaS applications in fast\-paced environments (Deep\-Tech, Fintech, or High\-Growth Startups).


• Full\-Stack Sovereignty: Deep proficiency in modern languages (Python, Go, C\#, or Java) and a methodical approach to complex data systems.


• Cloud Native Expertise: Experience securing and scaling applications on Azure, AWS, or GCP.


• Founding Grit: You are adaptable and resilient. You excel at navigating shifting priorities and ensuring high\-impact deliverables stay on track without "red tape."

The "Extra Mile"
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• Background in the semiconductor, data center, or AI infrastructure sectors.


• The desire to eventually grow and mentor a world\-class engineering team.

Why Join Us?
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Extreme Autonomy
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You are the captain of the tech stack. No legacy code, no technical debt—just your vision.

Global Impact
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Your work directly reduces the massive energy footprint of AI. Every line of code you write helps cool the future.

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