Software Engineer, ML Infrastructure

Tech Stack

Responsibilities

• Collaborate with ML researchers to improve the throughput and reliability of training.
• Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure.
• Improve the density and scalability of compute environments to enable increasingly large RL workloads.
• Create software and systems to automate building, monitoring, and running GPU clusters.
• Build workload scheduling and data movement systems to support Cursor’s growing training footprint.

Culture