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Posted 15 mo agoFirst seen 23 d ago
Software Engineer, Observability
Posted by xAI on 29 July 2025, 460 days ago. Still on their Greenhouse board when we checked 41 min ago. Half of xAI's roles come down within 75 days.
What the posting is about
Design and implement scalable observability infrastructure. Build high-performance telemetry pipelines. Develop APIs, query engines, and UIs for real-time insights. Define and enforce best practices for instrumentation, alerting, and reliability. Partner with infrastructure and product teams to integrate observability into internal platforms. Own the reliability, scalability, and performance of the observability stack end-to-end.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentFull time
LocationPalo Alto, CA
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2025-07-29
Found viagreenhouse, direct from their system
We saw it 15 months after it went up.
The posting, as the company wrote it
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, OBSERVABILITY
The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. We handle telemetry at massive scale — billions of time series and petabytes of logs — with strict performance and availability requirements.
You will be part of the small, high-impact team responsible for building and maintaining SpaceXSI's observability platform. You’ll own critical systems that power metrics, logs, tracing, and alerting enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements.
RESPONSIBILITIES:
Design and implement scalable observability infrastructure for metrics, logging, and tracing
Build high-performance telemetry pipelines that handle massive ingestion volumes
Develop APIs, query engines, and UIs that allow engineers to get real-time insights into their services
Define and enforce best practices for instrumentation, alerting, and reliability across the company
Partner with infrastructure and product teams to deeply integrate observability into our internal platforms
Own the reliability, scalability, and performance of the observability stack end-to-end
BASIC QUALIFICATIONS:
Experience with production-level Go, Rust, or Scala
PREFERRED SKILLS AND EXPERIENCE:
Experience with Kafka, Redis, or large-scale time series databases
Experience operating observability pipelines in Kubernetes or similar orchestration environments
Deep understanding of distributed systems and telemetry architecture
Experience building and operating infrastructure at scale
Familiarity with observability stacks such as Prometheus, Grafana, OpenTelemetry, VictoriaMetrics, or ClickHouse
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 .
Copied from xAI’s own board, not rewritten.
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