2 months ago
Responsibilities
- Design, build, and operate core platform systems used daily by ML researchers and product engineers.
- Partner with research teams to turn recurring pain points into durable infrastructure.
- Own reliability, performance, and developer experience for assigned systems.
- Build telemetry, ML data platform, observability, or ML developer-experience and systems infrastructure.
- Ship iteratively, measure impact, and improve platform quality in a high-ownership environment.
Requirements
- Strong background in systems or infrastructure software engineering and building platforms used by other engineers.
- Experience owning production distributed systems at meaningful scale, such as ingestion systems, data pipelines, scheduling, or orchestration.
- Comfort working across Linux, cloud or bare-metal environments, and modern orchestration technologies such as Kubernetes or Ray.
- Ability to work closely with ML researchers and product engineers.
- Especially relevant experience includes event ingestion, product analytics pipelines, OpenTelemetry, tracing, data frameworks, Spark, Flink, Ray, ML datasets, training-data infrastructure, experiment monitoring, evaluation tooling, GPU or cluster scheduling, job queues, and node health.
Benefits
- In-person role with offices in North Beach, San Francisco; Palo Alto; and Manhattan, New York.
- Technical interview process includes 2–3 short technical interviews followed by an onsite small project, discussion, and team meetings.
- Offices include well-stocked libraries.
Tech Stack
Categories
About Cursor
Cursor is an AI-powered code editor and coding assistant from Anysphere, built for professional software engineers and enterprise teams. It combines a VS Code–style editor with integrated AI chat, code generation, and repo-aware refactoring, and is sold via individual, team, and enterprise subscriptions. The company also targets sectors like healthcare and state and local education with field engineers who support evaluations and proofs of concept.