C
CoreWeave
Staff Software Engineer (Physical AI)
Skills
Google Cloud PlatformPythonAIAWSKubernetesApache AirflowAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
£116,000 – £155,000 / year
Location:
London, UK
Work mode:
Onsite
Published on:
29 August 2026
What they need
- 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
- 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
- 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- Experience with data processing frameworks (Spark, Athena, Ray, or similar)
- Cloud platform expertise (AWS required, Azure & GCP beneficial)
- Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar)
- Track record of driving architectural transformations in growing companies
- Strong Kubernetes experience with production workloads
- 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
- 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 API and service interface design skills for distributed services
- Excellence in technical communication and stakeholder management
- Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match
- Customer Obsession: You understand that our success is measured by our customers’ success
- Technical Excellence: You write clean, maintainable code and design systems that scale
- Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals
- Strong Leadership: You proactively identify problems and drive solutions forward
- Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on-call health
- Mentorship Mindset: You elevate others through knowledge sharing and patient guidance
- Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion
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