This job has closed on November 1, 2026.
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Closed
Senior Software Engineer - Physical AI
London, England • Full-time
Posted 2mo ago
Job Location
London, England
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
CoreWeave is seeking a Senior Software Engineer to join their Physical AI Engineering Team. This role involves building and scaling the core platform that powers advanced engineering simulation and AI workflows. You will contribute to the platform's evolution towards a distributed architecture, making it agentic-ready for next-generation AI applications. This is a hands-on position where you will deliver critical features and services throughout the full software lifecycle, from design and testing to deployment and operations.
Responsibilities
- Contribute to the transition from monolithic to distributed architecture.
- Design and implement architecture to be agentic ready for AI products and MCP server integrations.
- 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 including monitoring, alerting, incident response, performance, and scaling.
- Support and mentor engineers, sharing knowledge across the team.
- Collaborate with product and engineering peers to translate requirements into technical solutions.
- Contribute to technical decision-making and prioritization within the team.
- Interview and onboard new engineers.
Requirements
- 6+ years of software engineering experience.
- Solid software engineering breadth across deployment, CI/CD, automated testing, and production reliability.
- Experience with distributed systems, building and operating backend services end-to-end.
- Experience designing APIs and service interfaces.
- Security-minded development, including authentication/authorization and secure-by-default practices.
- Strong Python development skills with production experience.
- Experience with Kubernetes in production.
- Familiarity with workflow orchestration tools (e.g., Temporal, Airflow, Kubeflow).
- Cloud platform experience (AWS preferred, Azure & GCP a plus).
- Familiarity with data processing frameworks (e.g., Spark, Athena, Ray) is a plus.
- Strong technical communication and collaboration skills.
Benefits
- Discretionary bonus
- Equity awards
- Comprehensive benefits program