Cursor
Coding AI · AI code editor (Anysphere)
Coding AI · AI code editor (Anysphere)
Currently tracking 17 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Cursor is actively hiring for 28 AI-related roles. The majority of these positions, 43%, are focused on agents, with application roles making up another significant portion at 29%. The company is primarily seeking candidates for Engineering positions, with a notable concentration of roles in the United States. Cursor's hiring is emphasizing technologies such as agent orchestration, code generation, and model serving. Over the last 30 days, Cursor has posted 5 new AI roles, representing a 29% decrease compared to the previous 30-day period.
Cursor currently has 28 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer (2), Regional Director, Forward Deployed Engineering (2), Engineering Manager, Agent & Product Security, Engineering Manager, Core Services, Engineering Manager, Evals. Most positions are in Engineering and Product.
Cursor's active AI hiring is concentrated in: agents (43%), application (29%), evaluation (11%). 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 (3 roles), India (1 role), Germany (1 role).
Job postings at Cursor most frequently mention: LLM Evaluation & Grading, System Design, Software Engineering, Research Publications, Reliability Engineering.
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 |
| Software Engineer, Data Infrastructure Software Engineer, Data Infrastructure at Cursor, a company focused on automating coding. This role involves owning and operating data pipelines and storage systems that power model improvement, evals, and experimentation, with a focus on correctness, cost, and ergonomics. The role requires experience with Spark, Ray Data, and debugging performance issues across the data stack. | Data | 5 |