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2 часа назад

Network Engineer

250 000 - 320 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Network Engineer (AI Infrastructure): Designing, deploying, and scaling datacenter networks for production-scale AI workloads, distributed systems, and high-performance compute with an accent on modern network fabrics, routing, and operational reliability. Focus on building scalable topology and automation workflows, troubleshooting hardware and distributed-system boundaries, and supporting next-generation AI datacenter infrastructure.

Location: San Francisco, CA; on-site

Salary: $250,000–$320,000 per year plus equity

Company

hirify.global is building a multi-silicon neocloud that routes AI workloads across heterogeneous hardware for efficient, production-scale inference.

What you will do

  • Design, deploy, and scale datacenter network infrastructure for AI workloads, distributed systems, and high-performance compute.
  • Lead provisioning, device configuration, connectivity validation, deployment testing, and production turn-up for new infrastructure.
  • Develop network topology designs, IPAM, deployment standards, documentation, and infrastructure readiness processes.
  • Troubleshoot routing, hardware, connectivity, performance, and distributed-systems issues across physical and software boundaries.
  • Partner with infrastructure, systems, deployment, and operations teams to improve reliability, deployment velocity, and scalability.
  • Automate provisioning, configuration management, monitoring, deployment validation, and incident response workflows.

Requirements

  • Experience designing, deploying, and operating production network infrastructure.
  • Strong fundamentals in routing, switching, connectivity, performance, and reliability.
  • Experience with spine-leaf or Clos fabrics, backbone or WAN networks, ECMP, BGP, EVPN, VXLAN, and routing policies.
  • Knowledge of AI/HPC networking concepts including RoCEv2, InfiniBand, lossless Ethernet, QoS, DSCP, queuing, shaping, LAGs, optical transport, DWDM, coherent optics, and traffic engineering.
  • Ability to troubleshoot complex issues across hardware, software, networking, and distributed systems.
  • Ability to work independently, take end-to-end ownership, automate systems, and collaborate across engineering and operations teams.

Nice to have

  • Experience with AI/HPC, GPU, or large-scale distributed infrastructure.
  • Knowledge of AI application traffic patterns, collective operations, and workload colocation strategies.
  • Experience with GCP, AWS, Azure, Arista, Cisco, Juniper, NVIDIA networking platforms, or Palo Alto Networks PAN-OS.
  • Network automation experience with Python, Ansible, Terraform, or similar tools.
  • Familiarity with RDMA, RoCE, InfiniBand, or other high-performance networking environments.

Culture & Benefits

  • Join at an early stage and take significant ownership over network infrastructure and architecture.
  • Work directly with a small group of highly capable engineers.
  • Contribute to production systems serving frontier labs, hyperscalers, and AI-native companies.
  • Receive equity in addition to the stated compensation.

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