Staff Software Engineer, Runtime Systems

Coreweaveu·London

In short

→Ingeniero de software de nivel staff enfocado en sistemas de ejecución para cargas de trabajo complejas de IA y simulación.
→Diseña abstracciones claras y contratos entre servicios y entornos de ejecución como Kubernetes y Argo, priorizando simplicidad y fiabilidad.
→Destaca por trabajar en las bases del sistema que permiten mover cargas de trabajo sin ocultar las capacidades del infraestructura subyacente.

Proficiency in English required for collaboration with global teams.

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What they ask for

✓Experiencia sólida en ingeniería de sistemas distribuidos.
✓Conocimiento profundo de entornos de ejecución, workflows y runtime.
✓Capacidad para definir contratos claros entre componentes de plataforma.
✓Habilidades avanzadas en diseño de arquitectura con enfoque en simplicidad y extensibilidad.
✓Experiencia escribiendo software de producción crítico para control-plane y runtime.
✓Capacidad para razonar sobre fallos parciales, reintentos, idempotencia y cancelación.

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

KubernetesArgoOSMODistributed SystemsRuntime SystemsWorkflow ExecutionProgramming Language ConceptsControl-PlaneExecution EnvironmentsTyped Representations

Who should you write to at Coreweaveu?

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CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer. What You’ll Do: The Physical AI Engineering Team at CoreWeave is building the software and infrastructure that enables demanding AI, simulation, robotics, and engineering workloads to run reliably at scale. As these workloads become more complex, the challenge is no longer simply providing compute. We need to make heterogeneous workloads easier to execute, observe, reproduce, and move across different systems without hiding the capabilities or semantics of the infrastructure underneath them. About the role: We’re seeking a Staff Software Engineer, Runtime Systems to help design and build this layer. This is a hands-on systems engineering role at the intersection of distributed systems, runtimes, workflow execution, programming language concepts, and large-scale compute infrastructure . You’ll work on the foundations that allow complex workloads to move from an abstract description into reliable execution across systems such as Kubernetes, Argo, OSMO, and future execution environments. A major part of the role is deciding where abstraction is useful — and where it creates more complexity. Rather than building another universal workflow engine, you’ll help establish clear contracts between our platform and the systems that execute work, while preserving native capabilities. You’ll operate across architecture and implementation: defining contracts, writing production software, validating assumptions against real workloads, and working closely with platform and infrastructure teams. In this role, you will: • Runtime Systems & Architecture • Design and build runtime components for complex AI, simulation, and engineering workloads. • Define abstractions for workloads, execution environments, dependencies, state, capabilities, and failure. • Design interfaces between higher-level services and systems such as Kubernetes, Argo, and OSMO. • Establish clear boundaries around which systems own state, decisions, and side effects. • Make architectural decisions balancing simplicity, extensibility, performance, and operational reality. • Execution Models & Contracts • Define durable contracts between workload definitions, control-plane services, and execution backends. • Develop typed representations and schemas that allow workloads to be transformed safely across systems. • Design compatibility and evolution mechanisms for those contracts. • Build conformance and validation mechanisms that make guarantees executable rather than dependent on documentation. • Reason deeply about retries, partial failure, idempotency, cancellation, dependencies, and uncertain outcomes. • Hands-On Systems Engineering • Write production-quality software for critical runtime and control-plane components. • Build adapters and

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