Это настоящие вакансии?
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Company practice
Выберите роль в Palantir, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
Palantir
infrastructure
Build the lowest layers of the stack underpinning Palantir Foundry and Gotham, working on distributed systems, database technologies, and large-scale data processing using Java and Go alongside open-source systems like Cassandra, Spark, and Elasticsearch. You'd ship performant, secure, scalable building blocks that the entire product platform depends on, deployed to demanding public- and private-sector institutions. A technical interview would probe data structures and algorithms, distributed-systems fundamentals such as consistency, partitioning, and fault tolerance, and your ability to design and debug a high-throughput storage or compute system.
Palantir
ML / AI
Own generative-AI strategy and implementation with customers, building LLM-powered agent workflows that run over Palantir's object-action-link Ontology in AIP, including fine-tuning models that drive AIP actions and designing evaluation harnesses for deployments across commercial and classified environments. You'd write production Python and TypeScript while setting customers' AI direction. A technical interview would probe your grasp of the modern Gen AI landscape, how you design and evaluate LLM agent workflows, and how you decompose a real business problem into a reliable, measurable AI solution.
Palantir
fullstack
Embed directly with customers to architect and build end-to-end solutions on Palantir's platforms, owning high-stakes projects with startup-CTO-level autonomy: wrangling massive-scale data, building custom web applications, and deploying and monitoring production systems in the field. You'd write production Python, Java, and TypeScript while translating ambiguous operational problems into working software. An interview would probe practical coding under ambiguity, data modeling and pipeline design over messy real-world datasets, and your ability to decompose an open-ended customer problem into a concrete technical architecture.
Palantir
frontend
Build the rich, data-dense user interfaces that make Foundry and Gotham usable for analysts and operators, using TypeScript with React and Redux to render and manipulate large datasets interactively at scale. You'd own complex frontend architecture, performance, and component design for applications where responsiveness over huge data volumes is critical. A technical interview would probe JavaScript and TypeScript depth, React state-management and rendering-performance tradeoffs, and how you architect a maintainable, performant UI that stays responsive while handling large amounts of data.
ExoForm не аффилирован с Palantir. Это независимая тренировочная страница.
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Да. ExoForm проводит живое голосовое интервью, задает уточнения и после завершения показывает оценку и разбор ответов.
Нет. Можно начать бесплатно, а позже перейти на платный план, если нужно больше тренировок.