Software Engineer, ML Infrastructure

Highlights

• Build large-scale GPU infrastructure powering Cursor's agentic coding models.
• Automate building and monitoring GPU clusters for large RL workloads.
• Improve training throughput and reliability alongside ML researchers.

Ideal candidate

Truth-seeking, passionate builder who loves spirited debate and shipping code. Drawn to high-performance infrastructure and enabling ML researchers to train larger, more reliable models.

Requirements

• Strong background in systems and infrastructure-focused software engineering, particularly in Python, TypeScript, Rust, and Golang
• Experience with distributed storage and networking infrastructure on Linux across cloud and bare metal
• Exposure to large-scale systems across thousands of nodes with significant resource footprints
• Production use of infrastructure-as-code and configuration management across hosts and Kubernetes