Senior Software Engineer - Physical AI

Coreweave·Londonsenior

In short

→Ingeniero de software senior que construye y escala plataformas de AI física con arquitectura distribuida.
→Desarrolla servicios de cómputo distribuidos en Python, orquesta flujos y garante fiabilidad con monitorización y CI/CD.
→Destacado: Trabajas en una plataforma que impulsa simulaciones de ingeniería y AI agente de última generación.

Proficiency in English required

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What they ask for

✓6+ años de experiencia en ingeniería de software
✓Experiencia comprobada en sistemas distribuidos y servicios backend
✓Habilidades sólidas en CI/CD, pruebas automatizadas y confiabilidad en producción
✓Experiencia con diseño de APIs y servicios
✓Enfoque seguro en el desarrollo (OAuth, prácticas seguras por defecto)
✓Fortaleza en Python para código de producción

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PythonDistributed SystemsCI/CDAutomated TestingObservabilityIncident ResponseWorkflow OrchestrationDeploymentMonitoringMCP Server Integrations

Who should you write to at Coreweave?

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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 . What You’ll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. About the role: We’re seeking a Senior Software Engineer to help build and scale our platform as we meet growing demand from the world’s largest engineering companies. This is a hands-on engineering role where you’ll deliver critical features and services across the full software lifecycle – from design and testing to deployment, operations, and reliability. You’ll contribute to our platform’s evolution to a more distributed architecture, helping make it agentic ready for the next generation of AI applications. In this role, you will: • Engineering & Architecture • Contribute to the ongoing transition from monolithic to distributed architecture. • Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. • Make sound technical decisions for the components you own, balancing immediate needs with long-term goals. • Hands-On Development • Write production-quality Python code for critical platform components. • Build and optimize distributed compute services. • Implement reliable workflow orchestration patterns. • Contribute to CI/CD pipelines, automated testing, and deployment for platform services. • Support reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling). • Team Mentorship & Collaboration • Support and mentor engineers, sharing knowledge across the team. • Follow and help improve engineering best practices and patterns. • Collaborate with product and engineering peers to turn requirements into technical solutions. • Contribute to technical decision-making and prioritization within your team. • Interview and onboard new engineers. Who You Are: • 6+ years of software engineering experience. • Solid software engineering breadth across deployment and CI/CD, automated testing, and production reliability (observability, incident response). • Experience with distributed systems, building and operating backend services end-to-end. • Experience designing APIs and service interfaces. • Security-minded development, including authentication/authorization (e.g., OAuth) and secure-by-default practices. • Strong Python dev

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