Software Engineer, Data Platform

Reposted 2 Months Ago
Be an Early Applicant
Palo Alto, CA, USA
In-Office
180K-440K Annually
Senior level
Information Technology
The Role
Build, operate, and scale distributed data infrastructure (Kafka, Spark, Flink, Trino, HDFS) to enable real-time ML pipelines and analytics at petabyte scale. Design high-throughput, low-latency ingestion and transport, optimize performance, debug distributed systems, and collaborate with ML and product teams to ensure reliable, production-grade data movement and compute.
Summary Generated by Built In

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

SOFTWARE ENGINEER, DATA PLATFORM

The Data Platform team builds and operates the infrastructure responsible for all large-scale data transport and processing across the company. We own and manage core systems including Apache Kafka, HDFS, Spark, Flink, and Trino, enabling real-time ML pipelines, feed ranking, experimentation, analytics, and observability at petabyte scale. Our team deals with latency-critical workloads, high-throughput streaming, and distributed compute systems that require fault tolerance, performance, and absolute reliability.

As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering SpaceXSI's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.

RESPONSIBILITIES:

  • Design and implement high-throughput, low-latency data ingestion and transport systems
  • Scale and optimize multi-tenant Kafka infrastructure supporting real-time workloads
  • Extend and tune Spark, Flink, and Trino for demanding production pipelines
  • Build interfaces, APIs, and pipelines enabling teams to query, process, and move data at petabyte scale
  • Debug and optimize distributed systems, with a focus on reliability and performance under load
  • Collaborate with ML, product, and infrastructure teams to unblock critical data workflows

BASIC QUALIFICATIONS:

  • Experience with Kafka, Flink, Spark, Trino, or Hadoop in production

PREFERRED SKILLS AND EXPERIENCE:

  • Proficiency in Rust, Go, Scala or similar systems languages
  • Proven expertise in distributed systems, stream processing, or large-scale data platforms
  • Strong debugging, profiling, and performance optimization skills
  • Track record of shipping and maintaining critical infrastructure
  • Comfortable working in fast-moving, high-stakes environments with minimal guardrails

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Skills Required

  • Proven expertise in distributed systems, stream processing, or large-scale data platforms
  • Proficiency in Rust, Go, Scala or similar systems languages
  • Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production
  • Strong debugging, profiling, and performance optimization skills
  • Track record of shipping and maintaining critical infrastructure
  • Strong communication skills
  • Comfortable working in fast-moving, high-stakes environments with minimal guardrails

xAI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about xAI and has not been reviewed or approved by xAI.

  • Healthcare Strength — Healthcare is described as comprehensive, including medical, dental, vision, mental health support, and fertility benefits. Additional protections such as disability and life insurance, plus HSA/FSA options, are also outlined.
  • Equity Value & Accessibility — Equity is positioned as a core component of total rewards alongside high base salaries for technical roles. Pre‑IPO stock grants are highlighted as enabling participation in potential company growth.
  • Leave & Time Off Breadth — The package includes flexible or generous PTO, paid holidays, and paid sick days. Company materials also describe flexible vacation policies intended to help manage fast‑paced workloads.

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The Company
HQ: Palo Alto, CA
96 Employees

What We Do

Understand the Universe

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