aigoc++rustdistributed systemsstartupvector databasestime series databasesindexinggraph databasesfull text searchquery planninggeospatial retrieval
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$90к$123кмедиана$149к
19 в выборке
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
88
Крутая вакансия
развернуть
Чётко очерченная системная роль с большим влиянием и работой над новой инфраструктурой в хорошо финансируемом AI-стартапе; основные нюансы - высокая сложность задач и работа в офисе в Цюрихе.
Только офис в Цюрихе
Современный стек
Перспективная область
Влияние на архитектуру
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Query Engine Engineer (AI): Building a query engine for hundreds of billions of evidence-backed claims across graph, vector, full-text, time-series, and geospatial backends with an accent on storage design, indexing, query planning, and consistency. Focus on serving thousands of queries per second, optimizing p50/p99 latency, and producing precise and complete results under high concurrent load.
Location: In-person opportunity in Zurich, Switzerland
Company
hirify.global is an applied AI lab building a web-scale search engine, embedding models, vector databases, and a knowledge engine used by hundreds of thousands of developers.
What you will do
Own the query engine for hundreds of billions of evidence-backed claims across graph, vector, full-text, time-series, and geospatial retrieval backends.
Design storage layouts, partitioning, indexes, bulk snapshot builds, and live ingestion without downtime.
Build cost-based query planning that selects retrieval backends, execution order, joins, traversals, filters, and aggregations.
Optimize high-concurrency serving for thousands of queries per second, reducing p50/p99 latency, memory use, and cost per query.
Define consistency behavior for live updates and bulk snapshots, including snapshot promotion, ordered updates, and stable pagination.
Build deployment checks, evaluations, and metrics for precision, completeness, and query correctness.
Requirements
Deep experience working inside a distributed database, query engine, search engine, or storage system.
Strong understanding of indexing, query planning and optimization, and storage formats.
Solid understanding of distributed-systems fundamentals, including consensus, replication, sharding, and fault tolerance.
Strong proficiency in Go, Rust, or C++.
Experience profiling systems and shipping measured latency improvements in production.
Strong focus on correctness, reliability, and data quality at scale.
Nice to have
Experience with graph databases or combining vector, full-text, time-series, and geospatial retrieval.
Experience with compilers, query-language design, or cost-based optimizers.
Culture & Benefits
Greenfield systems work with foundational decisions spanning storage, indexing, query languages, and query planning.
Premium medical, dental, and vision healthcare benefits.
Fertility benefits and 16 weeks of fully paid parental leave for all new parents.
Monthly wellness stipend for employees.
International candidates are eligible for visa sponsorship, including STEM OPT, OPT, H1B, O1, and E3, subject to approval.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →