Software Engineer, ML Platform

About this role

Build and operate platform infrastructure that supports ML research and product engineering, including systems for large GPU fleets. The role focuses on turning research and product needs into reliable, performant platform tools.

About the company

Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.

The team

ML Platform, organized across four teams.

Stack

What you'll do

• Build and operate core platform systems for ML researchers and product engineers.
• Partner with research to turn recurring problems into durable infrastructure.
• Own reliability, performance, and developer experience for assigned systems.
• Ship iteratively and measure impact.

What we're looking for

• Degree in computer science, machine learning, or another quantitative discipline, or equivalent work experience.
• At least 5 years of industry experience with production distributed systems.

Nice to have

• Experience owning distributed systems at meaningful scale.
• Experience building platforms for ML researchers and product engineers.
• Background in event ingestion, analytics pipelines, tracing, or reliable data APIs.
• Experience with data frameworks, ML datasets, or training-data infrastructure.
• Experience with experiment monitoring, debugging, evaluation tools, or observability UX.
• Experience with GPU or cluster scheduling, job queues, or research compute systems.

Benefits

• Equity
• Medical, vision, and dental coverage
• 401(k) retirement plan
• Short- and long-term disability insurance
• Life insurance

Hiring process

1. Two to three short technical interviews.
2. Onsite project, discussion, and team meetings.