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.
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.
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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.
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A Master’s Degree in Computer Science or a related technical field (or equivalent "battle-tested" experience).
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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).
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Full-Stack Sovereignty: Deep proficiency in modern languages (Python, Go, C#, or Java) and a methodical approach to complex data systems.
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Cloud Native Expertise: Experience securing and scaling applications on Azure, AWS, or GCP.
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Founding Grit: You are adaptable and resilient. You excel at navigating shifting priorities and ensuring high-impact deliverables stay on track without "red tape."
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Background in the semiconductor, data center, or AI infrastructure sectors.
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The desire to eventually grow and mentor a world-class engineering team.
You are the captain of the tech stack. No legacy code, no technical debt—just your vision.
Your work directly reduces the massive energy footprint of AI. Every line of code you write helps cool the future.
