Supercompute Operations Engineering
Xai
Salary undisclosed
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Description
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 ROLE:
This team owns 100% GPU uptime, end to end, 24/7, across both compute and facility. It owns incident response and the engineering behind it, holds central control authority from the customer back to the facility, runs day-to-day sustainment of live datahalls, and leads deployment engineering for new datahall bring-up. The team will also build the automation for continuous response improvement. The team is expected to have system level knowledge about the whole datacenter site, end to end. The team engineers solutions to enable GPU uptime, working directly with technicians in the datahalls and field to execute the team’s engineering planning.
RESPONSIBILITIES:
- Own monitoring architecture, alerting, signal quality, and automation of monitoring across GPU and host telemetry (DCGM, Prometheus/Grafana) and facility telemetry (BMS, EPMS, DCIM, SCADA, CDU / direct liquid cooling).
- Own compute hardware change incorporation - physical, firmware, software.
- Be part of 24/7 iincident response, mitigation, and control authority - end to end - from customer impact back to the facility.
- Own day-to-day site sustainment operations, including resolving issues impacting rack-level compute and facility infrastructure.
- Disposition daily issues across both Site Operations (rack compute) and Facility Operations (power and cooling).
- Lead acceptance and deployment testing campaigns to bring new data halls fully online.
- Develop production automation for new datahall bring-up, automation behind alerting and automated incident response.
- Develop and maintain standard operating procedures and planning for facility and site technicians. Includes change / upgrade incorporation planning on both rack level and facility.
- Own and document the live, changing state of datahall operation as new halls come online.
- Enable Site Operations and Facility Operations technicians to do their day to day jobs more efficiently and safely to increase GPU uptime.
- Create predictive and responsive automation to alerts and incidents to enable your response to be faster and more impactful.
- Lead cross-functional reliability projects spanning compute, network (InfiniBand/RoCE), storage, and facility signal boundaries, including grey failures that cross those boundaries (e.g., NVLink flapping, thermal throttling, power sequencing).
- Truly root cause systemic and design failure classes across hardware and integrated facility and operations systems: turn fleet data (MTBF/AFR, repeat-RMA trends) into proactive alerting, standard responses, vendor RCA inputs, and supplier corrective actions.
BASIC QUALIFICATIONS:
- Bachelor's degree in Mechanical, Electrical, or Computer Engineering or a related scientific discipline and 2+ years of experience in data center, critical facilities, power plant, or large-scale compute operations; or 6+ years of equivalent experience in those environments.
PREFERRED SKILLS AND EXPERIENCE:
- Hands-on experience with at least one of: Prometheus/Grafana, NVIDIA DCGM, or industrial telemetry and controls (SCADA, BMS/BAS, EPMS, DCIM, PLCs, Modbus/BACnet).
- Experience in datacenter site reliability, systems engineering, plant operations, or large-scale production operations.
- Experience running acceptance test campaigns for integrated products.
- Experience in AI/ML infrastructure or supercomputing environments: GB200/NVL72 or H100/H200-class GPU fleets, NCCL, InfiniBand/RoCE, Slurm or Kubernetes.
- Fleet firmware and BMC management (Redfish, IPMI), including firmware release validation and staged rollouts.
- Familiarity with data center hardware and plant signals (servers, GPUs, networking, power, cooling) in addition to software telemetry.
- Proven large-scale incident command experience and calm technical leadership on a bridge, whether from an SRE/NOC bridge or a plant control room.
- Experience writing and operating playbooks, runbooks, or standard operating procedures, methods of procedure, emergency operations procedures.
- Proficiency in scripting (Python, Bash) for automation and analysis, plus general experience in at least one systems language (C, C++, Java, Go, Rust, or similar).
- Ability to work collaboratively with cross-functional, cross-country, multi-disciplinary teams.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
About this role
Xai's Supercompute Operations Engineering role centers on keeping GPU infrastructure running continuously across massive datacenters. You'd own the full stack—from monitoring and alerting systems through incident response to facility management—working 24/7 to maintain uptime across compute hardware, cooling, power, and networking. This means direct responsibility for both the engineering architecture (monitoring, automation, diagnostics) and the operational execution, coordinating with technicians in the field to implement solutions and troubleshoot everything from individual rack failures to systemic design issues that span hardware and facility boundaries.
The position demands someone with a strong foundation in datacenter or critical infrastructure operations—either a relevant engineering degree plus two years of hands-on experience, or six years equivalent. You'll need working knowledge of GPU telemetry tools (DCGM, Prometheus/Grafana), facility controls (SCADA, BMS, EPMS), and ideally experience with large-scale GPU fleets and supercomputing environments. Scripting ability in Python or Bash is essential, along with the capacity to lead incident response calmly under pressure and translate fleet-level failure patterns into preventive measures.
This is an in-office role in Southaven, Mississippi, suited for someone who thrives in high-stakes operations, enjoys the blend of systems thinking and hands-on troubleshooting, and wants to work on infrastructure at scale. You'd be part of building the operational backbone for AI supercomputing, not managing it remotely.
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