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Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Company practice
Perplexity mock interviews
Выберите роль в Perplexity, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
4 ролиPythonTypeScriptAWSCUDA
Создать свое интервьюРоли для тренировки
Perplexity
ML / AI
AI Inference Engineer (Member of Technical Staff)
Build and run the inference engine behind every Perplexity query, writing high-performance kernels and serving infrastructure that keeps answer latency low at search-engine scale. The stack is Rust, Python, CUDA, and CuTe DSL, with a focus on squeezing maximum throughput out of each GPU. A technical interview would probe GPU kernel optimization, attention and KV-cache implementation details, and how you'd profile and eliminate bottlenecks in a continuous-batching inference server.
RustCUDAPythonPerplexity
infrastructure
AI Infrastructure Engineer (Member of Technical Staff)
Build and operate the large-scale compute and orchestration platform that powers Perplexity's training and serving workloads, working with Kubernetes, Slurm, PyTorch, and primarily AWS. You'll manage GPU clusters, job scheduling, and the reliability of infrastructure shared across research and product teams. A technical interview would probe distributed training infrastructure, container and cluster orchestration at scale, and how you'd debug a multi-node GPU job that's bottlenecked on networking or scheduling.
KubernetesPyTorchSlurmPerplexity
ML / AI
AI Software Engineer - Comet Agents
Build the agentic experiences inside Perplexity's Comet browser, creating AI agents that autonomously navigate and act on the web using context engineering, tool interfaces, and browser automation (CDP, Playwright, extensions). You'll work across AI/ML, backend, and full-stack with a high bar on both agent performance and user experience. A technical interview would probe context-window and tool-calling design for frontier models, browser-automation reliability, and how you'd evaluate and harden a web-navigating agent against flaky, adversarial pages.
PythonTypeScriptPlaywrightPerplexity
fullstack
Full Stack Software Engineer - Applied AI
Build end-to-end AI product features spanning discovery, research agents, evaluation platforms, and monetization, integrating Perplexity's Sonar LLMs and third-party models into polished user-facing experiences. You'll move across frontend, backend, and the model-integration layer to ship complete products. A technical interview would probe full-stack system design, streaming LLM responses to a responsive UI, and how you'd structure an evaluation pipeline to measure and improve an AI feature in production.
TypeScriptReactPython
ExoForm не аффилирован с Perplexity. 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.