ML Platform Engineer: Build GPU-Scale Infra & Research

Triwill Group; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Cursor is seeking a Software Engineer on the ML Platform to build infrastructure that turns real product usage into better models. You will work on core platform systems used by ML researchers and product engineers, owning reliability and performance in a flat, high-ownership environment.

The team values truth-seeking, creativity, and shipping code. We are in-person with cozy offices in North Beach, SF, Palo Alto, and Manhattan, NY, collaborating closely with research to move fast on large GPU

Qualifications

• Background in systems / infrastructure software engineering.
• Experience with production distributed systems at scale.
• Familiarity with Linux, cloud and/or bare metal environments.

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.

Skills

Distributed systems

Infrastructure engineering

Linux

Cloud / Bare metal

Kubernetes / Ray

Job description

Cursor is seeking a Software Engineer on the ML Platform to build infrastructure that turns real product usage into better models. You will work on core platform systems used by ML researchers and product engineers, owning reliability and performance in a flat, high-ownership environment.

The team values truth-seeking, creativity, and shipping code. We are in-person with cozy offices in North Beach, SF, Palo Alto, and Manhattan, NY, collaborating closely with research to move fast on large GPU