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Join Cursor as a Software Engineer on the ML Platform to build infrastructure that enhances product usage and research efficiency. Collaborate closely with ML researchers in a flat, high-ownership environment.
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
- Design, build, and operate core platform systems used daily by ML researchers and product engineers
- Partner closely with research to turn recurring pain into durable infrastructure
- Own reliability, performance, and developer experience for the systems in your lane
- Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar
- Strong background in systems / infrastructure software engineering
- Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
- Comfortable across Linux, cloud and/or bare metal, and modern orchestration (Kubernetes, Ray, or equivalent)
- Enjoy working closely with ML researchers and product engineers
- Thrive where ownership is high and the feedback loop is short
Especially Strong Backgrounds by Team
- Telemetry: event ingestion, product analytics pipelines, OpenTelemetry / tracing, reliable data APIs
- Product Data Platform: data frameworks, Spark / Flink / Ray, ML dataset and training-data infrastructure
- Observability: experiment / run monitoring, debug and eval tooling, agent-friendly observability UX
- ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience