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Описание вакансии
Текст:
TL;DR
Network Engineer (Supercomputer Infrastructure) (AI supercomputer networks): Designing, deploying, and operating highly available, low-latency, high-bandwidth networks for GPU training and inference clusters with an accent on AI fabrics, data-center infrastructure, and network automation. Focus on solving congestion and redundancy challenges, building telemetry and GitOps/IaC deployment frameworks, and supporting cluster expansion, production operations, and 24x7 incident response.
Location: Memphis, Tennessee, or Southaven, Mississippi, United States. On-site infrastructure work includes job walks, physical network installation, working at heights and in tight quarters, travel between campuses of up to 20%, and after-hours on-call support.
Company
xAI develops AI systems intended to understand the universe and support humanity's pursuit of knowledge.
What you will do
- Design, deploy, and operate highly available, low-latency, high-bandwidth networks for GPU training and inference, storage, site operations, and OT/controls.
- Maintain supercomputer data-center and campus networks while collaborating with infrastructure, compute, storage, SiteOps, enterprise, facilities, vendors, and contractors.
- Evaluate, procure, and deploy data-center switches, NICs, firewalls, optical multiplexers, and other 400G/800G networking hardware.
- Develop network automation using configuration analysis, linting, validation, GitOps, and Infrastructure as Code frameworks.
- Troubleshoot cluster-impacting issues, provide networking support during bring-up and expansion, document RCAs, and participate in on-call operations.
- Build monitoring and telemetry for fabric health, congestion, packet loss, and NCCL/collective performance, and maintain network architecture and cabling documentation.
Requirements
- Bachelor's degree in computer science, computer engineering, or another STEM discipline with 3+ years of professional network engineering experience, or 5+ years of experience in lieu of a degree.
- Hands-on experience designing, deploying, supporting, and troubleshooting Layer 2 and Layer 3 networks in latency-sensitive, industrial, or data-center environments.
- Experience with multiple network vendors and with GitOps and Infrastructure as Code frameworks as both a user and contributor.
- Knowledge of network standards, routing, congestion control, redundancy, segmentation, QoS, multicast, and monitoring.
- Ability to pass applicable background checks, work in tight quarters and at heights, lift 30 lbs, drive with an active valid driver's license, and work extended hours or weekends.
- Ability to provide 24x7 emergency on-call support and participate in an after-hours rotation is required.
Nice to have
- Experience with Cisco, Arista, Juniper, or NVIDIA Spectrum-X data-center switches.
- RoCEv2 Ethernet AI/HPC fabric experience; InfiniBand and NCCL familiarity are a plus.
- Experience with WDM, single-mode and multimode fiber plants, OTDR, and acceptance testing.
- Proficiency in Bash, PowerShell, or Python and automation tools such as Terraform and Ansible.
- CCNA or CCNP certification, Linux and Windows administration experience, or experience with real-time, industrial control, energy, aerospace, defense, or other high-reliability systems.
Culture & Benefits
- Work in a small, highly motivated organization focused on engineering excellence and curiosity.
- Operate in a flat structure where employees are expected to contribute hands-on to the mission.
- Collaborate directly with internal teams, customers, vendors, and contractors.
- Provide flexible after-hours coverage aligned with cluster build-out and operational schedules.
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