Cursor is actively hiring for 21 AI-related roles, with a significant focus on the "agents" stage, representing 52% of their open positions. The majority of these roles are within the Engineering function, and all current hiring is concentrated in the United States. Their technical needs are reflected in frequent tags such as agent_orchestration, llm_observability, and evals.
Currently tracking 15 active AI roles, up 30% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cursor currently has 25 active AI-related roles in our index. The most common open titles are: Data Scientist, Performance and Reliability, Engineering Manager, Core Services, Engineering Manager, Evals, Engineering Manager, Model Routing & Inference, Forward Deployed Engineer. Most positions are in Engineering and Product.
Cursor's active AI hiring is concentrated in: agents (44%), application (20%), evaluation (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cursor is hiring AI talent in: United States (21 roles), United Kingdom (2 roles), Singapore (1 role).
Job postings at Cursor most frequently reference: agent orchestration, evals, llm observability, model serving, code gen.
In the past 30 days, Cursor has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, ML Research Research Engineer at Cursor focused on building the training, inference, and data systems for frontier coding models, including scaling RL on user data and creating infrastructure for large-scale data jobs. | DataPost-train | 9 |
| Software Engineer, ML Infrastructure Software Engineer focused on building and scaling ML infrastructure, including compute, storage, and software systems to support large-scale training of agentic coding models. The role involves collaborating with researchers, managing GPU infrastructure, and improving training framework performance and reliability. | DataPost-train | 8 |