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8 дней назад

Network Engineer/AI Fabrics Architect, AI Solutions Lab (AI)

154 680 - 231 700$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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 Fabrics Architect, AI Solutions Lab (AI): Designing, validating, and optimizing RoCE-based AI fabrics, Teralynx switch networks, and GPU/HPC lab infrastructure with an accent on leaf-spine, fat-tree, rail-optimized, and multi-plane topologies. Focus on analyzing GPU collective communication, tuning congestion control and telemetry, debugging distributed network behavior, and building automated fabric validation benchmarks.

Location: Santa Clara, California, United States

Expected base pay: $154,680–$231,700 per annum

Company

hirify.global develops semiconductor solutions and infrastructure technologies for enterprise, cloud, AI, and carrier architectures.

What you will do

  • Own Teralynx switch configuration, SONiC deployment, and AI lab fabric design.
  • Design, tune, and validate RoCE-based fabrics for distributed training and inference workloads.
  • Architect rail-optimized, leaf-spine, fat-tree, and multi-plane topologies for GPU and HPC clusters.
  • Configure ECN, PFC, UEC, congestion control, and telemetry pipelines; diagnose packet loss, hotspots, blocking, and queue behavior.
  • Analyze GPU collective communication patterns and correlate network behavior with end-to-end workload performance.
  • Build automated stress-testing and validation frameworks, reusable configurations, and customer-facing demonstration artifacts.

Requirements

  • Expertise in data center, backbone, and internet networking technologies.
  • Hands-on experience with RoCE, AI-fabric tuning, switch automation, telemetry, and counter analysis.
  • Experience with SONiC, SAI, network SDKs, programmable switching, and Linux networking internals.
  • Ability to diagnose congestion, latency, traffic paths, and control-plane and data-plane issues in distributed environments.
  • Experience with Ethernet AI fabrics and high-speed Ethernet from 200G to 1.6T, plus SNMP, gNMI, or gNXI telemetry.
  • Bachelor’s or master’s degree in computer science, computer engineering, network engineering, or a related field.

Nice to have

  • Experience with Kubernetes, containers, and CI/CD for lab infrastructure.
  • Familiarity with Ultra Ethernet Consortium specifications.
  • CCNP, CCIE, JNCIE, or equivalent certification.
  • PhD in a related field.

Culture & Benefits

  • Employee stock purchase plan with a two-year look-back.
  • Eligibility for bonus plans, new-hire equity grants, and annual equity refreshers.
  • Family support programs and mental and physical health resources.
  • Recognition and service awards.

Hiring process

  • Interviews evaluate individual experience, thought process, and communication skills in real time.
  • AI tools, transcription apps, automated answer generators, and note-taking bots are not permitted during interviews.
  • Access to export-controlled technology may require an export license review before employment.

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