ML Platform Engineer — Infra for Research on GPU Fleets

cursor; New York, San Francisco (NY, CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cursor is seeking a Software Engineer for the ML Platform that powers model training and research insights. You’ll help design and operate core platform systems used by ML researchers and product engineers, collaborating closely with research to turn recurring pain into durable infrastructure.

Join a flat, talented team in a setting that values ownership and shipping quickly on large GPU fleets. Expect to contribute across Telemetry, ML Data Platform, Observability, and DevX & Systems.

Qualifications

• Strong background in systems/infrastructure software engineering focused on building platform primitives.
• Experience owning production distributed systems at scale (ingestion, data pipelines, scheduling).
• Comfort with Linux, cloud and modern orchestration (Kubernetes, Ray or equivalent).

Responsibilities

• Design, build, and operate core platform systems used daily by ML researchers and product engineers.
• Partner 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 and raise the bar.

Skills

Distributed systems

Infrastructure engineering

Linux/Unix

Cloud

Kubernetes

Tools

Terraform

Spark

Ray

OpenTelemetry

Job description

Cursor is seeking a Software Engineer for the ML Platform that powers model training and research insights. You’ll help design and operate core platform systems used by ML researchers and product engineers, collaborating closely with research to turn recurring pain into durable infrastructure.

Join a flat, talented team in a setting that values ownership and shipping quickly on large GPU fleets. Expect to contribute across Telemetry, ML Data Platform, Observability, and DevX & Systems.