Cursor

Research Scientist at Cursor focused on automating coding by training frontier coding agents. The role involves driving RL or mid-training research, owning ambiguous research problems end-to-end, and pushing results into the next model. Key responsibilities include improving RL understanding for longer tasks with less compute, training graders for coding tasks with non-verifiable rewards, improving training data quality, and researching real-time RL for coding agents. Requires a deep background in RL, strong ML fundamentals, excellent programming skills, and the ability to handle ambiguous research tasks with autonomy.

Product Manager for Cursor's Agent Harness, responsible for the framework that enables AI agents to decompose tasks, interact with the file system/terminal, handle failures, and be observed/steered by developers. The role involves turning research advances into product, analyzing agent traces, designing evaluation frameworks, and defining agent extensibility primitives.

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.

Software Engineer on the Agent Harness team at Cursor, responsible for building core agent behavior and capabilities, including agent orchestration, tools, guardrails, and model behavior tuning. The role also involves defining the default Cursor agent experience and launching new models.

Product Manager for Cloud Agents, focusing on automating coding tasks for professional programmers by developing and owning the product for provisioning, orchestrating, and monitoring AI agents that run on cloud VMs. The role involves designing the developer experience for task handoff, agent output review, and ensuring the agents are fast, trustworthy, and efficient.

Software Engineer on the Agent Quality team at Cursor, responsible for building the measurement, evaluation, and feedback-loop infrastructure to improve the Cursor core agent. This role involves designing and building AI evaluation systems, feedback loops from user usage, analysis tooling for agent behavior, and improving reliability and guardrails by making quality measurable.

Engineering Manager to lead the Model Routing & Inference team, owning the inference platform that powers all AI interactions in the product. Responsibilities include setting technical direction for cluster management, inference optimization, and traffic egress, managing GPU utilization, capacity planning, and designing routing mechanisms. The role involves leading a team, hiring, and coaching engineers.

Role focuses on embedding with customer engineering teams to build and ship production-grade AI-powered workflows using Cursor. This involves identifying bottlenecks, designing solutions, and owning the end-to-end lifecycle including reliability, monitoring, and iteration. The role requires strong engineering skills and experience with AI-native applications in production.

Software Engineer to work on Bugbot, an AI code reviewer that automates coding by reviewing pull requests, catching bugs, and suggesting improvements. The role involves end-to-end feature shipping, evolving the review pipeline, building integrations, owning product quality and reliability, and designing onboarding flows. It requires moving fluidly between the model layer and the product layer, with a focus on shipping genuinely useful AI-assisted code review.

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.

Software Engineer, Product role at Cursor focused on automating coding by building tools for professional programmers, leveraging inventive research, design, and engineering. The role involves creating software for users, particularly in the editor, and inventing new ways to build software. Sample projects include developing AI-generated code review interfaces, building new product verticals like AI bug detection, and running experiments to improve agent quality, sub-agents, memories, and PR retrieval.

Product Manager at Cursor, a company focused on automating coding by building tools for professional programmers. The role involves customer discovery, writing code, prototyping with AI, defining feature strategy, owning launch execution, partnering with customers and sales, prioritizing bug fixes, working with data science on metrics, and writing changelogs. Requires daily use of AI coding tools, engineering or deep developer tools experience, and ability to build and deploy applications.

Software Engineer on the Model Routing & Inference team responsible for building and evolving the inference platform that powers all AI interactions in the product, focusing on speed, reliability, and cost-effectiveness at scale.

Cursor is building a tool to automate coding, starting with a product for professional programmers. This role involves inventive research, design, and engineering within a flat, talent-dense organization.