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Backend Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Английский
b2
Страна
France/UK/US +8 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Backend Engineer (AI): Developing and optimizing GPU workload scheduling and inference serving systems to maximize GPU utilization and improve inference throughput and latency. Focus on designing scalable, fault-tolerant distributed systems and control planes to accelerate research velocity and support large-scale AI model training and deployment.

Location: Remote within EMEA region

Company

Poolside is a US-founded, distributed AI startup focused on building advanced intelligence systems to accelerate software development and reach Artificial General Intelligence.

What you will do

  • Design and develop internal scheduling systems to maximize GPU utilization
  • Build APIs and tooling for managing GPU workload lifecycle and troubleshooting
  • Improve inference control plane to speed up model deployment and request serving
  • Collaborate with research, scalability, and infrastructure teams to enhance system stability and performance

Requirements

  • Must be located in or able to work remotely within the EMEA region
  • Strong programming skills in Go or similar languages
  • Experience with distributed systems, schedulers, control planes, or high-throughput data planes
  • Production experience with Kubernetes internals including controllers, informers, and operators
  • Focus on observability and debuggability for production systems

Culture & Benefits

  • Fully remote work with flexible hours
  • 37 days of vacation and holidays per year
  • Health insurance allowance for employees and dependents
  • 16 weeks of flexible, full-pay parental leave
  • Well-being, learning, and home office allowances
  • Company-provided equipment and frequent team gatherings
  • Diverse and inclusive people-first culture

Hiring process

  • Introductory call with team member
  • Technical interviews with engineering members
  • Team fit call with People team
  • Final interview with founding engineer

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