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Company practice
Cursor mock interviews
Выберите роль в Cursor, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
4 ролиLLMsPythonTypeScriptAppSec
Создать свое интервьюРоли для тренировки
Cursor
infrastructure
Software Engineer, Infrastructure
Build and scale the backend systems that serve Cursor's AI code editor to over a million daily active users, including the indexing, retrieval, and request-serving paths that keep latency low under heavy load. You'll own high-throughput services where a few milliseconds of overhead is multiplied across millions of completions. A technical interview would probe distributed systems design, low-latency service architecture, and how you'd shard, cache, and scale a code-indexing pipeline under real production load.
RustTypeScriptDistributed SystemsCursor
ML / AI
Software Engineer, ML Research
Train and fine-tune the proprietary models behind Cursor's autocomplete and agent features, reducing reliance on third-party APIs by improving code-completion quality, latency, and cost. You'll work across data curation, model training, and evaluation loops tied directly to product metrics. A technical interview would probe transformer internals, fine-tuning and RL techniques for code models, and how you'd design evals that correlate offline model quality with real editor acceptance rates.
PythonPyTorchLLMsCursor
ML / AI
Software Engineer, Model Routing & Inference
Own the inference and routing layer that decides which model serves each request and runs it efficiently at scale, optimizing throughput, batching, and GPU utilization across Cursor's model fleet. You'll balance quality, latency, and cost in a system serving constant high-volume LLM traffic. A technical interview would probe inference optimization (KV caching, batching, quantization), GPU performance tradeoffs, and how you'd build a routing policy that picks the cheapest model meeting a quality bar.
PythonCUDALLMsCursor
security
Software Engineer, Security
Secure Cursor's product and infrastructure as it handles proprietary source code for enterprise customers, covering application security, secrets handling, sandboxing of agent-executed code, and enterprise compliance. You'll threat-model an AI agent that reads and runs untrusted code on customer repositories. A technical interview would probe how you'd sandbox arbitrary code execution, design a least-privilege secrets architecture, and reason about the attack surface of an LLM agent with filesystem and shell access.
AppSecCloud SecurityTypeScript
ExoForm не аффилирован с Cursor. Это независимая тренировочная страница.
FAQ
Можно ли пройти интервью голосом?
Да. ExoForm проводит живое голосовое интервью, задает уточнения и после завершения показывает оценку и разбор ответов.
Нужно ли платить сразу?
Нет. Можно начать бесплатно, а позже перейти на платный план, если нужно больше тренировок.