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Build security tools and product features that protect Cursor's AI code editor platform, its agents, and its customers — including AI-augmented code review, least-privilege cloud access, safe agent environments, and controls preventing inappropriate data logging.
Designs and builds full-stack internal tooling for Cursor's reinforcement-learning research: vendor task-submission and acceptance workflows, review tools for rollouts and grader outputs, and quality/versioning/catalog systems. Core stack is TypeScript and React with Node, Python, or Go.
You will build platform primitives for resilient services, including service provisioning, deployment tooling, workflow orchestration, and service ownership standards. You will create shared workflow abstractions,…
You will build platforms that create realistic reinforcement-learning environments at scale. You will turn raw data into training-ready environments, apply quality standards, create self-service APIs and tooling, and…
You will design and iterate task sets using traces and evaluations to improve coding-agent capabilities. You will investigate agent failures, build systems that surface related behavior, improve rewards and…
Builds product software for Cursor's AI code editor — inventing interfaces for reviewing AI-generated code, creating new product areas, and running experiments and A/B tests to improve agent quality.
At Cursor (Anysphere), this engineer builds the systems that turn raw web data into training-ready datasets for frontier model pretraining — high-throughput data pipelines, data-quality classification models, platform tooling, and web crawling/parsing infrastructure.
New-grad software engineer (Spring 2027 grads) at Anysphere/Cursor, the AI code editor company. You'll design, build, and ship user-facing products end-to-end — frontend UI through backend — improving AI-generated code and PR review interfaces while using AI tools to stay productive without sacrificing correctness.
Builds and evolves Cursor's inference platform: an inference gateway that routes AI traffic across model provider APIs, with cross-provider failover, routing backpressure, and admission control. Day-to-day is high-throughput, low-latency distributed systems engineering for AI inference serving.
Build distributed training, inference, and reinforcement-learning infrastructure for Cursor's frontier coding models, plus libraries that simplify large-scale data jobs and systems that turn user data into training data. Works closely with researchers; core focus is distributed systems and ML infrastructure.
Build and operate ML platform infrastructure at Cursor (Anysphere): turning recurring research problems into durable systems, owning reliability, performance, and developer experience across distributed systems, data pipelines, and orchestration on Kubernetes/Ray, Linux, and cloud or bare-metal infrastructure. On-site roles in San Francisco, Palo Alto, or New York.
Builds and scales the GPU infrastructure behind Cursor's AI training: improving training throughput and reliability, planning GPU infrastructure, automating GPU-cluster operations, and building scheduling and data-movement systems for reinforcement-learning workloads, using Python, TypeScript, Rust, Go, Linux, and Kubernetes.
Infrastructure software engineer at Anysphere (Cursor) who owns the cloud foundation: building and operating production Kubernetes clusters, designing geo-replicated deployments, securing edge networking, and managing cloud costs. Core stack is AWS — EKS/Kubernetes, VPC networking, IAM, CDN/WAF, service mesh, and infrastructure as code.
Software engineer on the Growth team at Cursor (Anysphere) designing and building systems for onboarding, monetization, and the core product experience, combining engineering, AI models, and design while keeping the product easy to use.
Builds and owns the enterprise platform for Cursor (Anysphere) — multi-level organization management, RBAC/ABAC authorization, SCIM provisioning, SSO enforcement, audit logging, and admin APIs — carrying features from database schema and API design through admin UI and docs.
Builds enterprise-grade features for Cursor end to end — architecting, implementing, and deploying projects that help large organizations adopt and scale with the product. The role blends engineering, model awareness, and product design.
Builds and operates developer-productivity foundations at Cursor (Anysphere): a multi-platform dev environment for macOS, Windows, and Linux, CI/CD systems (merge queues, build caching, flaky-test quarantine), machine provisioning automation, and local/CI parity, while setting technical direction and reviewing code across engineering.
Backend software engineer at Anysphere (Cursor) owning shared services between product surfaces and infrastructure — authentication, webhooks, and backend systems for agent workflows. Day to day involves designing scalable auth architecture, building a high-throughput webhook server, and improving end-to-end agent reliability.
Builds core desktop-client infrastructure for Cursor (Anysphere's AI code editor), spanning build systems, distribution, observability, and performance instrumentation. The engineer improves client reliability, evaluates Electron vs. native approaches, and creates internal tooling for fast, safe releases.
Software engineer on Cursor's Bugbot team building AI code-review features end-to-end, spanning UI, backend, model integrations, and the review pipeline. Day to day you ship product features, evolve prompting and agent orchestration, and monitor review quality and reliability.
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