Роль предполагает четкую ответственность за крупные data-системы в заметной AI-компании, но быстрый темп и работа в офисе могут требовать гибкости.
Несостыковка компании
Современные технологии
Сфера AI
Ответственность за результат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Software Engineer, Data Engineering (X) (AI): Building and operating distributed realtime and batch data platforms processing billions of events per day with an accent on data pipelines, shared datasets, and data correctness. Focus on designing scalable streaming and batch systems, automating data workflows, and investigating metric anomalies across complex infrastructure.
Location: Palo Alto, California, United States
Salary: $180,000–$330,000 USD per year
Company
xAI is building a super-intelligence stack spanning Colossus supercomputers, Grok models, and applications including X.
What you will do
Design, build, and operate production-grade realtime and batch pipelines processing billions of events per day.
Create shared datasets, fact tables, and internal data products for product, growth, safety, and business teams.
Build tooling for backfills, dashboards, report generation, and self-serve data access.
Ensure data correctness through output validation, denominator reconciliation, independent recomputation, and root-cause investigations.
Select and adapt query engines, streaming frameworks, batch systems, and storage technologies for different data challenges.
Partner with product and business teams to identify data gaps and prioritize high-impact improvements.
Requirements
5+ years of professional software engineering experience.
Experience with Python, Rust, Scala, Go, or Java, plus data pipeline tooling and distributed systems.
Experience in data engineering or distributed systems.
Knowledge of realtime and batch processing tools such as Spark, Kafka, Flink, and SQL, plus relational and NoSQL storage systems.
Experience solving large-scale problems and incrementally improving quality while building new systems.
Ability to translate product requirements into engineering implementation plans and communicate effectively with AI, product, marketing, sales, and engineering groups.
Culture & Benefits
Operate as an internal startup with end-to-end ownership of data problems.
Medical, vision, and dental coverage.
Equity and access to a 401(k) retirement plan.
Short- and long-term disability insurance, life insurance, discounts, and other perks.
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