Principal Software Engineer

Building extremely progressive technology comes with the need to cool down the electronic parts much more efficient than ever before.

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.

It's 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.

As a Principal Software Engineer, you will lead the design and development of our digital backbone from the ground up. This is a high-autonomy, high-impact role where you define both 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 transform complex thermal challenges into a secure, scalable, and maintainable SaaS platform capable of handling high-speed, data-intensive workloads aligned with GPU-level performance cycles.

Key Responsibilities:

Shape Technical Architecture

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

Ship with Velocity:

Deliver high-quality, secure, and well-tested code efficiently. Navigate roadblocks effectively and iterate quickly without compromising engineering standards.

Elevate Engineering Standards:

Champion clean code, robust testing practices, and engineering excellence. Set the benchmark for the engineering culture across the organization.

Own the DFM Loop

Collaborate closely with mechanical engineers to integrate Smartfins logic into a seamless cloud-based experience, bridging software and physical systems.

Automate & Scale

Implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and orchestration tools, to ensure efficient and reliable deployments.

Leverage Next-Generation Tools

Utilize AI-assisted development tools (e.g., Gemini, Claude, GitHub Copilot) to accelerate software development, debugging, testing, and documentation.

The Essentials

Educational Background

Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands-on industry experience.

7+ Years of Engineering Excellence

Proven experience building large-scale, customer-facing SaaS applications in fast-paced environments such as DeepTech, FinTech, or high-growth startups.

Full-Stack Expertise

Strong proficiency in modern programming languages such as Python, Go, C#, or Java, combined with a structured approach to designing and building complex software systems.

Cloud-Native Experience

Hands-on experience designing, securing, deploying, and scaling applications on Azure, AWS, or GCP.

Founder's Mindset

Adaptable, resilient, and comfortable working in ambiguous environments. Able to navigate shifting priorities, take ownership, and deliver results without unnecessary bureaucracy.

Nice to Have:

• Experience in the semiconductor, data center, cooling technology, or AI infrastructure industries.
• Familiarity with IoT platforms and hardware-software integration.
• Interest in mentoring engineers and helping build a high-performing engineering team.
• Experience working in early-stage startups or scaling technology organizations.