With this innovative and distruptive technology company, 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. 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, and future-proof. Ship with Velocity Deliver high-quality, secure, and well-tested code quickly. Navigate roadblocks effectively and iterate fast without compromising standards. Elevate Engineering Standards Champion clean code, strong testing practices, and engineering excellence. Set the benchmark for the entire engineering culture. 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 and orchestration tools, to ensure efficient and reliable deployments. Leverage Next-Gen Tools Utilize AI-assisted tools (e.g., Gemini, Claude, GitHub Copilot) to accelerate development, debugging, and testing processes. The Essentials Educational Background Master’s degree in Computer Science or a related technical field — or equivalent hands-on experience. 7 Years of Engineering Excellence Proven experience building large-scale, customer-facing SaaS applications in fast-paced environments (e.g., DeepTech, FinTech, high-growth startups). Full-Stack Expertise Strong proficiency in modern programming languages such as Python, Go, C#, or Java, with a structured approach to complex data systems. Cloud-Native Experience Hands-on experience designing, securing, and scaling applications on Azure, AWS, or GCP. Founder's Mindset Adaptable, resilient, and comfortable with ambiguity. Able to navigate shifting priorities and deliver impact without unnecessary bureaucracy. Nice to Have Background in semiconductor, data center, or AI infrastructure industries Interest in mentoring and growing a high-performing engineering team