xAI · Foundation models
Site Reliability Engineer - Memphis
- Southaven, +1 more: Memphis
AI roleMLOpsML platform
Still open on xAI's site · checked 4 hours ago
- Experience
- 5+ years
- Education
- Bachelor's degree
- Posted
What you'll do
As written by xAI · Read the original
RESPONSIBILITIES
- Own monitoring architecture and signal quality across GPU and host telemetry (DCGM, Prometheus/Grafana) and facility telemetry (BMS, EPMS, DCIM, SCADA, CDU / direct liquid cooling): what we alert on, suppress, and trust. Consume NOC noise-disposition feedback to drive suppression and redesign. Treat alert noise as a design failure, not an operator failure
- Provide SEV command support: technical incident leadership, bridge coordination with the NOC, paging and escalation (e.g., PagerDuty), and timeline and severity hygiene
- Run blameless postmortems and drive corrective actions to closed, not filed
- Gate high-risk change: fleet-scale firmware/BIOS/BMC rollouts (Redfish, canaries, rollback) and SOP/MOP/EOP-governed work on power and cooling systems through a disciplined change management process
- 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)
- Partner with Hardware Failure Analysis on systemic failure classes: turn fleet data (MTBF/AFR, repeat-RMA trends) into monitoring, stop-rules, and vendor RCA inputs
- Build and maintain playbooks, run game days, and keep cross-discipline dependency maps current. Own runbook quality jointly with the NOC (SRE designs; NOC operates and corrects)
- Define error budgets and availability objectives at campus and service boundaries as adopted by the business
- Participate in on-call rotations and incident response for SEV-class events in the Memphis / Southaven data center campus
- Demonstrate monitoring and observability design at fleet or campus scale, including alert hygiene, suppression, and signal quality
- Treats alert noise as a design failure, not an operator failure
- Improve mean time to detect (MTTD) and mean time to resolve (MTTR) for severity-class events, and ensure blameless postmortems with closed action items.
- Increase the alert actionable ratio and reduce recurrence of incident classes.
- Expand monitoring coverage of critical dependencies across compute, network, storage, power, and cooling.
- Minimize GPU fleet availability lost to infrastructure events.
Requirements
BASIC QUALIFICATIONS
- Bachelor's degree in systems engineering, computer science, electrical engineering, or STEM discipline
- 5+ years of experience in site reliability, systems engineering, plant operations, or large-scale production operations
- Experience with at least one of: Prometheus/Grafana, NVIDIA DCGM, or industrial telemetry and controls (SCADA, BMS/BAS, EPMS, DCIM, PLCs, Modbus/BACnet)
- Experience working across at least two of: compute, network, storage, power, and cooling / facilities telemetry
- Experience writing and operating playbooks, runbooks, or SOP/MOP/EOPs with a 24/7 operations, control room, or NOC partner
- Experience with scripting (Python, Bash) for automation and analysis
PREFERRED SKILLS AND EXPERIENCE
- General experience in at least one systems language (C, C++, Java, Go, Rust, or similar) – not required to be expert in all of them
- Excellent problem-solving skills with a data-driven approach to reliability engineering
- Ability to work collaboratively with cross-functional teams, including NOC, data center operations, hardware failure analysis, and infrastructure engineering
- Proven large-scale incident command experience and calm technical leadership on a bridge, whether from an SRE/NOC bridge or a plant control room
- Demonstrated monitoring and observability design at fleet or campus scale, including alert hygiene, suppression, and signal quality
- Experience in power plants, nuclear power plants, high-performance computing, data center environments, or other high-consequence industrial control environments (ICS/OT)
- Current or prior work in data centers or facilities like SpaceXSI spanning power, compute, cooling, and related plant systems, including CDU / direct liquid cooling
- 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
- Reliability engineering methods: MTBF/AFR analysis, reliability-centered maintenance, grey-failure diagnosis, and vendor RCA/RMA partnership
- Experience with CMMS (e.g., Maximo) and commissioning / integrated systems testing (IST) and operational turnover
- Hands-on definition and use of SLOs, SLIs, and error budgets at service or campus boundaries
- Experience running game days, dependency mapping, and closed-loop corrective action programs
- Familiarity with data center hardware and plant signals (servers, GPUs, networking, power, cooling) in addition to software telemetry
- Prior work in a fast-paced startup or tech company like SpaceXSI
- Experience in power plants, nuclear power plants, data centers, or facilities like SpaceXSI — current or prior — spanning power, compute, cooling, or related plant systems
- Proven large-scale incident command experience and calm technical leadership on a bridge; nuclear control-room, shift supervisor / Senior Reactor Operator (SRO), Shift Technical Advisor, or Navy nuclear experience counts as incident command
- Cross-team facilitation and systems engineering depth across software and facility boundaries
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Skills
Stack
- Python
- Java
- C++
- Go
- Rust
- Kubernetes
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.