GPU & Compute Infra Engineer (Hybrid)

Lightningai

Greater London

Hybrid

GBP 133,000 - 163,000

Full time

14 days+
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Benefits offered by this job

Health coverage
Equity (RSUs)
Retirement 401k
Unlimited PTO
Winter break
Parental leave
L&D allowance
Wellness stipend
Sabbatical
Flexible work
In-office meals

Job summary

Lightning AI, the company behind PyTorch Lightning, is seeking a GPU & Compute Infrastructure Engineer to own image management and validation for large-scale GPU compute systems. You will operate across bare-metal infrastructure, drive automation, and ensure stable qualification processes, with a role based in our hubs including London.

The role emphasizes Linux system expertise, GPU diagnostics, and cross-functional collaboration across hardware and ML teams, with a hybrid work model and visa

Qualifications

  • 5+ years of infrastructure engineering experience in production environments.
  • Strong Linux systems expertise in production settings.
  • Hands-on GPU-enabled systems experience (NVIDIA DCGM).
  • Familiarity with bare-metal provisioning and system bring-up workflows.
  • Proficiency in Python for automation.

Responsibilities

  • Own image management, deployment, and validation across bare-metal infrastructure.
  • Run and maintain test clusters for system validation and bring-up.
  • Validate firmware, drivers, and OS images on GPU-enabled systems.
  • Develop automation to improve provisioning and validation pipelines.
  • Interface with hardware management systems (IPMI/Redfish) for monitoring.

Job description

Lightning AI, the company behind PyTorch Lightning, is seeking a GPU & Compute Infrastructure Engineer to own image management and validation for large-scale GPU compute systems. You will operate across bare-metal infrastructure, drive automation, and ensure stable qualification processes, with a role based in our hubs including London.

The role emphasizes Linux system expertise, GPU diagnostics, and cross-functional collaboration across hardware and ML teams, with a hybrid work model and visa

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