Software Engineer - Observability, Supercompute

SOFTWARE ENGINEER, OBSERVABILITY (SUPERCOMPUTE)

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:

• Programming experience in Python, Rust, C++, or Java
• Experience working with Postgres, MySQL, MongoDB, DynamoDB, or other database management systems

PREFERRED SKILLS AND EXPERIENCE:

• Super Intelligence (SI) driven software development practices
• 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
• 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 3 months on-site full-time at the supercompute center (currently Memphis) to learn the system, then potential option (based on performance) to work full-time from another SpaceX site (ideally Hawthorne) with up to 50% travel to supercompute centers indefinitely