ElevenLabs3 дня назад

Инженер HPC-инфраструктуры - кластеры GPU

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РЫНОК
26 250медиана по профессии
AI Researcher · 34 вакансий с указанной зарплатой
5 600половина предложений: 16 690–59 425143 300
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Полная занятостьУдалёнка

Обязанности

  • 01Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning
  • 02Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity
  • 03Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE)
  • 04Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast
  • 05Build and maintain high-performance storage for datasets and checkpoints
  • 06Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance
  • 07Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs
  • 08Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors
  • 09Keep clusters secure by default: access control, network isolation, secrets

Требования

  • 01Have run large-scale Linux server or GPU environments in production and enjoy both building and operating
  • 02Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast
  • 03Are comfortable with bare-metal environments, server hardware, and high-speed networking
  • 04Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform
  • 05Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong
  • 06Like owning real scope end to end and being the person others rely on
  • 07Don't consider any task above or beneath you — datacenter trips included

Условия

  • 01Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI
  • 02Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact
  • 03Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend
  • 04Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year
  • 05Annual company offsite: Each year, we bring the entire team together in a new location
  • 06Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend
  • 07Remote work: This role is remote and can be executed globally
  • 08Office options: Can work from offices in London, New York, San Francisco, and Warsaw