Member Of Technical Staff - Data Platform

xAI

Palo Alto, CA, United States
Base: $180,000 - $440,000 usd; bonus/equity: equit...
On-site
Distributed systems
Stream processing
Large-scale data platforms
xAI is seeking a Member of Technical Staff for its Data Platform team, responsible for building and managing infrastructure for large-scale data processing. The ideal candidate should have expertise in distributed systems and stream processing, with proficiency in languages like Rust or Go, and experience with technologies such as Kafka, Spark, and Flink

Job Summary

  • The Data Platform team builds and operates the infrastructure responsible for all large-scale data transport and processing across the company, enabling real-time ML pipelines, feed ranking, experimentation, analytics, and observability at petabyte scale.
  • As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X’s data movement and compute, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.
  • Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

Matching Summary

Match Score: 85

xAI is seeking a Member of Technical Staff for its Data Platform team, responsible for building and managing infrastructure for large-scale data processing. The ideal candidate should have expertise in distributed systems and stream processing, with proficiency in languages like Rust or Go, and experience with technologies such as Kafka, Spark, and Flink.

Salary

Base: $180,000 - $440,000 USD; Bonus/Equity: equity; Benefits: comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks

Skills & Requirements

Must-have

  • distributed systems
  • stream processing
  • large-scale data platforms
  • high-throughput, low-latency data ingestion
  • multi-tenant Kafka infrastructure
  • Spark, Flink, Trino optimization

Nice-to-have

  • engineering excellence
  • curiosity-driven
  • flat organizational structure
  • strong communication skills
  • fast-moving environments

Key Requirements

  • Proven expertise in distributed systems
  • Proficiency in Rust, Go, Scala
  • Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop
  • Strong debugging, profiling, and performance optimization skills
  • Track record of shipping and maintaining critical infrastructure

Work Rights

Not specified

Tailored Resume

Cover Letter