Principal Infrastructure Software Engineer, Fleet & Automation

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role We're hiring a Staff Software Engineer to build the software, automation, and control-plane capabilities that manage Nscale's fleet of AI infrastructure at scale. Your work will improve the acceptance, performance, and scalability of our AI and high-performance computing environments — driving higher availability, faster capacity delivery, and lower operational load as Nscale grows into one of the world's leading neo-cloud providers. This is a senior individual-contributor role for an engineer who enjoys solving hard infrastructure problems at the intersection of software, GPUs, networking, and large-scale operations. You will have the autonomy to investigate problems, learn quickly, innovate, and deliver improvements wherever they create meaningful impact for the team and the platform. You will work closely with teams across Nscale — including Deployment, AI Infrastructure Support, Data Centre Operations, Platform, SRE, Network, and hardware engineering — to translate operational challenges into reliable, scalable software. You will not need to own every component to make a difference: strong engineers identify opportunities, build a compelling case for a solution, and work with the right partners to deliver it. NOTE: We are hiring for various senior experience levels. The final leveling for the role will be based on your overall work experience, experience in AI Infra domain and interview feedback. What You'll Be Doing Lead the architecture, roadmap, and implementation of workflow automation and fleet-management systems, balancing scalability, reliability, and maintainability. Build and operate production-grade software, services, APIs, and automation that manage the lifecycle of GPU compute and supporting network infrastructure. Own end-to-end workflows for fleet inventory, provisioning, configuration, hardware and firmware lifecycle management, validation, health monitoring, remediation, capacity, and reliability at scale. Investigate complex production issues across hardware, GPUs, operating systems, networks, schedulers, and services; turn findings into durable software…