Software Engineer ML Platform
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Summary
Build and operate ML platform infrastructure at Cursor (Anysphere): turning recurring research problems into durable systems, owning reliability, performance, and developer experience across distributed systems, data pipelines, and orchestration on Kubernetes/Ray, Linux, and cloud or bare-metal infrastructure. On-site roles in San Francisco, Palo Alto, or New York.
You will design, build, and operate core platform systems. You will turn recurring research problems into durable infrastructure, own system reliability and performance, improve developer experience, and measure the impact of iterative improvements.
Responsibilities
- Design, build, and operate core platform systems
- Turn recurring research problems into durable infrastructure
- Own system reliability, performance, and developer experience
- Ship iterative platform improvements and measure impact
Requirements
- Systems and infrastructure software engineering
- Production distributed systems
- Ingestion systems
- Data pipelines
- Scheduling and orchestration
- Linux
- Cloud infrastructure
- Bare-metal infrastructure
- Kubernetes, Ray, or equivalent orchestration
- ML research collaboration
Benefits
- Well-stocked libraries
