Jobs / Xai***

Software Engineer - X Data

Xai*** · Palo Alto, CA, United States
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Palo Alto, CA, United States125,000-400,000 USD/yearlyHybrid
Remuneration
125,000-400,000 USD/yearly
Location
Palo Alto, CA, United States
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Job summary

ABOUT Xai*** Xai***'s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.

Benefits

125,000 - $400,000 USDXAI is an equal opportunity employer.For details on data processing, view our Recruitment Privacy Notice.

Qualifications

  • We are looking for an engineer with 3+ years of professional software engineering experience, ideally in data engineering or distributed systems.
  • Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems.
  • Knowledge of realtime and batch data processing
  • into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering).
  • COMPENSATION AND

Responsibilities

  • You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day.
  • The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily.
  • In this role you will:
  • Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions.
  • Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance.
  • Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data.
  • Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly.
  • Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement.
  • Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions.

Skills

CommunicationLeadership

Degrees

Associate

Industry

AutomotiveEnergyInsuranceMedia

Company size

Startup