Staff Software Engineer - Physical AI

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 Staff Software Engineer to help drive the architectural evolution of our platform as we scale to meet growing demand from the world’s largest engineering companies. This is a hands-on technical leadership role where you’ll drive critical architectural initiatives across the full software lifecycle – from design and testing to deployment, operations, and reliability – while mentoring our engineering team. Partnering with senior engineering leadership, you’ll help shape and execute our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications. In this role, you will: • Technical Leadership & Architecture • Drive the ongoing transition from monolithic to distributed architecture. • Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. • Own technical decisions balancing immediate business needs with long-term architectural goals. • Hands-On Development • Write production-quality Python code for critical platform components. • Build and optimize distributed compute services. • Implement reliable workflow orchestration patterns. • Own CI/CD pipelines, automated testing, and deployment strategy for platform services. • Drive reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling). • Team Mentorship & Collaboration • Mentor senior and mid-level engineers, elevating the technical capabilities of the entire team. • Establish engineering best practices and architectural patterns. • Collaborate with product and business stakeholders to translate requirements into technical solutions. • Guide technical decision-making and prioritization across multiple teams. • Interview and onboard new engineers. Who You Are: • 10+ years of software engineering experience, including time in a staff-level engineering role. • Broad software engineering depth spanning deployment and CI/CD, automated testing, and SRE/production reliability (observability, incident response). • Deep expertise in distributed systems architecture, including building and operating large-scale distributed backend systems end-to-end. • Strong API and service interface design skills for distributed services. • Security-minded development, including authentication/authorization (e.g., OAuth) and secure-by-default practices. • Expert-level Python development skills with production experience at scale. • Strong Kubernetes experience with production workloads. • Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar). • Cloud platform expertise (AWS required, Azure & GCP beneficial). • Experience with data processing frameworks (Spark, Athena, Ray, o