Staff+ Software Engineer, Research Systems Engineering

Anthropic·Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NYRemote

In short

→Ingeniero de sistemas de investigación para IA escalable y segura
→Trabajas con equipos de investigación para construir infraestructura crítica de entrenamiento y servicio de modelos
→Liderazgo técnico en proyectos complejos con impacto directo en el avance de la IA beneficiosa

Strong written and verbal communication skills

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The questions they'll ask you

1. ¿Cómo has abordado un problema de escalabilidad en un sistema distribuido con alta carga de entrenamiento de modelos?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia en sistemas distribuidos a gran escala en producción
✓Capacidad para liderar proyectos técnicos complejos y ambiguos por meses
✓Experiencia previa como líder técnico o mentor
✓Habilidades sólidas de comunicación y alineación entre equipos
✓Dominio de al menos un lenguaje (Python, Rust, Go, Java)
✓Experiencia con infraestructura moderna en la nube (Kubernetes, IaC, AWS, GCP)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Kubernetesinfrastructure as codeAWSGCPPythonRustGoJavaNCCLeBPF

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems. In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow. Key responsibilities • Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system • Build deep partnerships with researchers and Research teams to understand their needs and deliver for them • Mentor other engineers and help raise the technical bar for the team • Build alignment on technical direction across multiple teams, working through ambiguous problem spaces • Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow • Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident Minimum qualifications • Experience designing, building, and operating large-scale distributed systems or infrastructure in production • Experience independently scoping and delivering complex, ambiguous, multi-month technical projects • Prior experience as a technical lead or mentor for other engineers • Experience making architectural decisions that other engineers and teams build on top of • Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java) • Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP) • Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders Preferred qualifications • 10+ years of software engineering experience, not including internships • Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL) • Low-level systems experience (e.g., Linux kernel tuning, eBPF) • Experience applying security or privacy engineering best practices The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrat

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