Software Engineer, Observability (Supercompute)

xAI is hiring a Software Engineer, Observability (Supercompute). Level rates it ; you can apply on xAI.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Tools and skills the posting cites include Python, AI research and observability.
Level classifies it as a mid-level role.
Level lists 296 other open roles at xAI.
The role was posted within the past week.

AI in this role

Builds observability software systems and infrastructure to maintain and monitor supercompute clusters for frontier AI training.

python

ai-researchobservabilitysupercomputinginfrastructurereliabilitymonitoringgpu-uptime

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.

How we rate this

Software Engineer, Observability (Supercompute) at xAI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Engineer, Observability (Supercompute) is an open job at xAI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Memphis, TN.
The job was posted on October 22, 2026.
Seniority: mid.
Applications are handled by xAI. Apply on xAI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchObservabilitySupercomputingInfrastructureReliabilityMonitoringGPU UptimePython

Also common in software engineer jobs at this level

LLM AWS Machine learning AI agents Generative AI TypeScript

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Tell me about a project where observability was part of your work. What did you do?
Tell me about a project where supercomputing was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where reliability was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Research, Observability, Supercomputing, Infrastructure, and Reliability. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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