Infrastructure Engineer (GPU & Compute)

lightningai; Deutschland; Hybrid; EUR 155.000 - 189.000; Vollzeit

Benefits dieser Stelle

Discretionary bonus

Equity

Comprehensive medical coverage

Unlimited PTO

Sabbatical after 4 years

Hybrid work model

Zusammenfassung

lightningai is seeking a senior infrastructure engineer to bring up, validate, and operate large-scale bare-metal GPU environments. You will own diagnostics, tooling, and automation that keep clusters ready for demanding AI/ML and HPC workloads.

This role blends hardware, systems software, and automation, requiring strong Linux production experience, hands-on GPU tooling, and Python scripting for provisioning and validation. Hybrid remote work with US hubs is available.

Qualifikationen

• 5+ years in infrastructure engineering, systems engineering, or a closely related role.
• Strong Linux systems experience in production environments.
• Hands-on experience with GPU-enabled systems and diagnostic tooling such as NVIDIA DCGM.
• Familiarity with bare-metal provisioning and system bring-up workflows.
• Proficiency in Python or comparable scripting/programming languages for automation.
• Ability to debug complex issues across hardware, OS, GPUs, and system software.

Aufgaben

• Own and evolve image management, deployment, and validation pipelines across bare-metal infrastructure, including firmware, driver, and OS qualification for GPU-enabled systems
• Operate and maintain test clusters used for bring-up and diagnostics, supporting hardware qualification efforts for next-generation platforms
• Diagnose and resolve complex issues spanning GPUs, drivers, OS, and underlying hardware; analyze performance using tools such as NVIDIA DCGM
• Build Python-based automation for provisioning, validation, and system bring-up, improving reliability, repeatability, and scalability
• Manage Linux-based production and validation environments, including virtualization and PXE/image-based bare-metal provisioning workflows
• Partner with infrastructure, hardware, and data center teams, plus platform and ML stakeholders, to ensure systems meet workload requirements and contribute to provisioning and lifecycle best practices

Kenntnisse

Linux systems

Python

GPU systems

NVIDIA DCGM

Bare-metal provisioning

Automation

Diagnostics

Hardware-software debugging

Tools

iDRAC

IPMI

Redfish

PXE boot

LiveCD provisioning

Jobbeschreibung

Role overview

This position focuses on bringing up, validating, and operating large-scale bare-metal compute environments with an emphasis on GPU-enabled systems. The engineer will sit at the intersection of hardware, systems software, and automation, owning diagnostics, qualification, and the tooling that keeps clusters ready for demanding AI/ML and HPC workloads.

Responsibilities

• Own and evolve image management, deployment, and validation pipelines across bare-metal infrastructure, including firmware, driver, and OS qualification for GPU-enabled systems
• Operate and maintain test clusters used for bring-up and diagnostics, supporting hardware qualification efforts for next-generation platforms
• Diagnose and resolve complex issues spanning GPUs, drivers, OS, and underlying hardware; analyze performance using tools such as NVIDIA DCGM
• Build Python-based automation for provisioning, validation, and system bring-up, improving reliability, repeatability, and scalability
• Manage Linux-based production and validation environments, including virtualization and PXE/image-based bare-metal provisioning workflows
• Partner with infrastructure, hardware, and data center teams, plus platform and ML stakeholders, to ensure systems meet workload requirements and contribute to provisioning and lifecycle best practices

Requirements

• 5+ years in infrastructure engineering, systems engineering, or a closely related role
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and diagnostic tooling such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or comparable scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Nice to have

• Experience with high-performance interconnects such as InfiniBand or NVLink
• Familiarity with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Working knowledge of hardware management interfaces (iDRAC, IPMI, Redfish)
• Data center operations experience with physical hardware
• Background supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Benefits and work setup

• Anticipated annual base salary range of $180,000–$220,000 USD, plus discretionary bonus and equity
• Comprehensive medical, dental, and vision coverage for employees and eligible dependents
• Retirement savings support (401(k) matching in the U.S., pension contributions in the U.K.)
• Unlimited PTO, company holidays, floating holidays, and a two-week company-wide winter break
• Paid parental and family leave, plus a four-week paid sabbatical after four years of service
• Annual professional development allowance, plus wellness and work-from-home stipends
• Flexible schedules with a hybrid model for office-based teams and complimentary in-office meals at hubs
• Work may be fully remote within the U.S. or hybrid out of office hubs in NYC, SF, Seattle, or London, with occasional team and company offsites; visa sponsorship is not available for this role