Infrastructure Engineer (GPU & Compute)

原始資料於 2026-11-04T15:07:56.209314+00:00 查閱；內容可能已更新，請查看原始職位。

What We're Looking For
Lightning AI is seeking an experienced Senior GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will help bring up, validate, and operate large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—owning system diagnostics and validation, developing automation, improving reliability, and ensuring clusters are ready to support demanding AI/ML and HPC workloads.
You will play a key role in GPU and system-level qualification, running validation environments and test clusters, and improving the tooling and workflows that support infrastructure bring-up at scale. This includes owning and evolving our image pipeline alongside provisioning and validation systems to ensure our infrastructure is consistent, performant, and reliable from day one.
This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Systems Bring-Up & Validation
Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
Run and maintain test clusters used for system validation, diagnostics, and bring-up
Validate firmware, drivers, and OS images across compute and GPU-enabled systems
Support hardware qualification efforts for next-generation platforms
GPU Diagnostics & Performance
Own GPU diagnostics and validation workflows across large-scale infrastructure
Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
Analyze system and GPU performance using tools such as NVIDIA DCGM
Identify failure patterns and drive improvements in system stability and validation coverage
Automation & Tooling
Build and maintain automation for provisioning, validation, and system bring-up
Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
Improve the reliability, repeatability, and scalability of image pipelines and validation systems
Systems & Operations
Manage and operate Linux-based systems in production and validation environments
Manage virtualization technology
Support bare-metal provisioning workflows, including PXE and image-based systems
Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
Cross-Functional Collaboration
Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
Collaborate with platform and ML teams to ensure systems meet workload requirements
Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure
What You'll Need
Required Qualifications
5+ years of experience in infrastructure engineering, systems engineering, or related roles
Strong Linux systems experience in production environments
Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
Familiarity with bare-metal provisioning and system bring-up workflows
Proficiency in Python or similar scripting/programming languages for automation
Ability to debug complex issues across hardware, OS, GPUs, and system software
Ideal Experience
Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
Data center operations experience, including working with physical hardware
Experience supporting AI/ML or HPC workloads at scale
Experience with GPU validation frameworks or large-scale hardware qualification processes