GPU & Compute Infra Engineer — Remote/Hybrid

Lightningai; Greater London; Hybride; GBP 135 000 - 165 000; Plein temps

Avantages offerts par ce poste

Health Coverage

Equity

401(k) matching

Unlimited PTO

Winter Break

Parental Leave

Learning Budget

Wellness stipend

Sabbatical

Hybrid work

Office meals

Résumé du poste

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. You will bring up, validate, and operate large-scale GPU-enabled bare-metal compute infrastructure, owning system diagnostics, automation, and reliability.

You’ll evolve image pipelines, provisioning, and validation workflows to ensure day-one readiness. You’ll help run validation clusters, diagnose hardware and software issues, and collaborate with data center and ML teams to meet

Qualifications

• 5+ years in infrastructure or systems engineering.
• Strong Linux experience in production environments.
• Hands-on with GPU-enabled systems (NVIDIA DCGM).
• Familiar with bare-metal provisioning and bring-up workflows.
• Python or similar scripting languages for automation.

Responsabilités

• Own and evolve image management, deployment, and validation across bare-metal infrastructure.
• Run and maintain test clusters for system validation, diagnostics, and bring-up.
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems.
• Support hardware qualification for next-generation platforms.

Connaissances

Linux

Python

GPU

NVIDIA DCGM

Automation

System Bring-Up

Outils

PXE

IPMI

Redfish

iDRAC

LiveCD

Description du poste

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. You will bring up, validate, and operate large-scale GPU-enabled bare-metal compute infrastructure, owning system diagnostics, automation, and reliability.

You’ll evolve image pipelines, provisioning, and validation workflows to ensure day-one readiness. You’ll help run validation clusters, diagnose hardware and software issues, and collaborate with data center and ML teams to meet