Infrastructure Engineer (GPU & Compute)

Lightning AI • Seattle, WA

1d • Hybrid

About The Position

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join their Infrastructure Engineering team. This role will focus on image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a specific emphasis on GPU-enabled systems. The engineer will work at the intersection of hardware, systems, and software, focusing on developing automation, enhancing reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads. The position is critical for ensuring the infrastructure is consistent, performant, and ready to support demanding AI workloads. The role offers flexibility in location, allowing for hybrid work from US hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. Visa sponsorship is not available for this position.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
• Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
• Generous paid time off, plus holidays
• Paid parental leave
• Professional development support
• Wellness and work-from-home stipends
• Flexible work environment
• Discretionary bonus
• Meaningful equity component

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed