ML Platform Engineer — Scale GPU-Driven Research Infra

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Cursor is seeking a Software Engineer for the ML Platform to build infrastructure that turns real product usage into better models. You will join four teams and work on core platform systems that researchers and engineers rely on daily.

You will collaborate with ML researchers and product engineers, own reliability and performance, and ship iteratively in a flat, high-ownership environment. This role is in-person across our SF/NYC offices.

Qualifications

• Strong background in systems / infrastructure software engineering.
• Experience with production distributed systems at scale.
• Familiarity with Linux, cloud, and orchestration tools.
• Willingness to work closely with ML researchers and product engineers.

Responsibilities

• 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, raise the bar.

Skills

Distributed systems

Infrastructure engineering

Linux

Cloud platforms

Kubernetes

Ray

Job description

Cursor is seeking a Software Engineer for the ML Platform to build infrastructure that turns real product usage into better models. You will join four teams and work on core platform systems that researchers and engineers rely on daily.

You will collaborate with ML researchers and product engineers, own reliability and performance, and ship iteratively in a flat, high-ownership environment. This role is in-person across our SF/NYC offices.