Full-Stack Software Engineer, Compute Foundations

About the Team The Frontier Clusters team at the company builds, launches, and supports the largest supercomputers in the world! Our mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably. That means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable. About the Role You will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem? You will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale. This is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world’s largest supercomputers into clear, reliable, and scalable systems. In this role, you will: Build full-stack web applications that help researchers and operators understand cluster health, job failures, and usable capacity in real time. Turn questions like "why is this job down?" and "what is preventing these nodes from being ready?" into clear, actionable product experiences. Collaborate closely with researchers and infrastructure teams to identify high-leverage operational problems and build tools that solve them. Design data models, APIs, and visualizations that make large-scale scheduling, resource allocation, and cluster behavior easier to inspect and reason about. Develop scalable backend services that process high-volume cluster and workload data with low latency and high reliability. Build intuitive frontend workflows that connect users to the underlying scheduling, storage, and compute systems. Raise the bar for reliability, performance, and security in the systems used to operate the company’s frontier compute. You might thrive in this role if you: Have significant experience in full-stack development, with expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies such as Python, Go, or Node.js. Have built scalable, high-performance web applications for complex distributed systems. Understand APIs, distributed data systems, and cloud infrastructure. Are execution-focused, with a strong eye for usability, performance, and scalability. Are comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities. Bonus points if you: Have experience working with Kubernetes, Docker, and cloud-native application deployment. Understand AI/ML workload scheduling and orchestration challenges. Have experience with real-time data processing, visualization libraries, and observability tooling. Compensation Range: $230K - $347K USD About the company the company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. #J-18808-Ljbffr