xAI

Software Engineer, Observability (Supercompute)

Posted 2 Days Ago

Memphis, TN, USA

In-Office

Mid level

Information Technology

The Role

Build scalable observability and operational software for large AI datacenters. Responsibilities include real-time telemetry ingestion, dashboards, APIs, alerting, automation, repair and vendor workflows, infrastructure integrations, and reliable production operations. The role partners with datacenter, AI research, and facilities teams, owns correctness-sensitive systems, supports on-call operations, and improves GPU uptime through automation and rapid incident response.

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.

ABOUT THE TEAM
The Supercompute Observability Software team owns keeping our supercompute centers running reliably at the unprecedented scale required for frontier AI training and inference by building software systems and platforms to automatically predict, monitor, and rapidly respond to changing operational conditions and incidents. Our clusters are large, heterogeneous, and always on - the team makes them observable and keeps them running: we build the infrastructure that lets engineers and technicians expedite and automate their day to day, speeding node remediation and increasing overall GPU uptime. The team partners closely with datacenter operations, AI research, and facility infrastructure teams to deliver high-impact tools that turn raw operational data into clear insight and action, ensuring true site-wide reliability and automated operation.
RESPONSIBILITIES:

Design, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) to enable reliability, uptime monitoring, predictive alerting, upgrade/change/risk management, and site-wide impact assessments.
Design, build, and operate predictive and analytical tools that inform better design and operations of future and current supercompute centers,
Develop frontend visualizations, interactive dashboards, and UI components that present processed data in clear, real-time views for operators, capacity planners, and engineering stakeholders.
Work day to day with your users, in person, to rapidly incorporate feedback and process improvements that improve GPU uptime.

BASIC QUALIFICATIONS:

Super Intelligence (SI) driven software development practices
Programming experience in Python, Rust, C++, Java, or similar languages.
Experience working with Postgres, MySQL, MongoDB, DynamoDB, or similar database management systems.
Proven ownership of correctness-sensitive systems - state machines, workflows, or operational data where inaccurate state has real-world impact.
Experience collaborating with cross-functional teams.

PREFERRED SKILLS AND EXPERIENCE:

Bachelor's degree in computer science, engineering, math, or a STEM discipline and 3+ years of professional software development experience; OR 5+ years of professional software development experience in lieu of a degree.
Experience building or operating large-scale observability, telemetry, or real-time analytics systems.
Experience with time-series or analytical databases (Prometheus/VictoriaMetrics, ClickHouse, InfluxDB) and streaming or high-volume telemetry pipelines.
Experience building observability dashboards and alerting with Grafana, New Relic, Splunk, or similar.
Frontend experience with React, Angular, or a comparable JavaScript framework, building intuitive UIs for critical operations.
Experience operating services on cloud or on-prem infrastructure with Docker/Kubernetes in production and automated CI/CD deploys (ArgoCD, GitHub Actions, etc.).
Experience with HPC or supercomputing environments (schedulers such as Slurm, GPU/accelerator telemetry, high-speed fabrics, or parallel filesystems).
Experience integrating with industrial/OT data sources (SCADA platforms such as Ignition, tag historians, Modbus/OPC-UA) or power/cooling infrastructure telemetry.

ADDITIONAL REQUIREMENTS:

Ability to work extended hours or weekends as needed for mission-critical deadlines.
Ability to work full-time on-site at a SpaceX office.
Ability to travel to supercompute centers (up to 25-50% based on need).

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

Skills Required

Bachelor's degree in computer science, engineering, mathematics, or another STEM discipline plus 3+ years of professional software development experience, or 5+ years of professional software development experience in lieu of a degree
Programming experience in Python, Rust, C++, Java, or similar languages
Experience with Postgres, MySQL, MongoDB, DynamoDB, or similar database management systems
Ownership of correctness-sensitive systems, state machines, workflows, or operational data with real-world impact
Experience collaborating with cross-functional teams
Experience with large-scale observability, telemetry, or real-time analytics systems
Experience with time-series or analytical databases and high-volume telemetry pipelines
Experience building observability dashboards and alerting with Grafana, New Relic, Splunk, or similar tools
Frontend experience with React, Angular, or a comparable JavaScript framework
Experience designing and shipping multi-service systems for mission-critical applications
Experience operating services on cloud or on-premises infrastructure with Docker and Kubernetes in production
Experience with automated CI/CD deployments such as ArgoCD or GitHub Actions
On-call discipline and experience owning internal platforms end to end in production environments
Experience with HPC or supercomputing environments, schedulers, GPU telemetry, high-speed fabrics, or parallel filesystems
Experience integrating industrial or OT data sources, including SCADA, tag historians, Modbus, OPC-UA, or power and cooling telemetry
Master's degree in computer science or a related field
Ability to work extended hours or weekends as needed for mission-critical deadlines
Ability to participate in a weeklong rotational on-call schedule

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.