Staff Software Engineer: Compute

Anthropic·San Francisco, CA | New York City, NYsenior

En corto

→Construyes sistemas de software para gestionar el ciclo de vida de centros de datos físicos, desde sitios hasta construcción.
→Trabajas de cerca con equipos de ingeniería, energía y cadena de suministro para entender su trabajo y crear herramientas que usan diariamente.
→Eres clave en transformar datos caóticos (como hojas de cálculo) en una fuente confiable y segura para decisiones de inversión masiva.

Proficiency in English is required.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓8+ años de experiencia construyendo software
✓Habilidades sólidas en full-stack, modelado de datos, APIs y bases de datos
✓Experiencia construyendo software para industrias del mundo físico (datacenters, construcción, energía, logística, etc.)
✓Historial de trabajo desde cero en entornos startup o similares
✓Enfoque centrado en el usuario: aprendes del equipo operativo y validas con ellos
✓Capacidad de ganar la confianza de expertos operativos y trabajar con datos desordenados

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonPostgreSQLReactDockerKubernetesAWSREST APIsGraphQLGitCI/CD

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities • Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth • Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first • Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems • Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions • Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner • Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you • Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases • Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics • Have a track record of zero-to-one work in startup or startup-like environments • Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing • Bring high agency and g

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