Lightning AI - Infrastructure Engineer (GPU & Compute)
Requirements
• Lightning AI is seeking an experienced Senior GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. • Senior GPU & Compute Infrastructure Engineer • 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. • 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 • 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
• 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
Benefits
• We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. • The anticipated annual base salary range for this role is: • $180,000 - $220,000 USD • We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents. • Comprehensive Health Coverage: • Meaningful Equity: RSUs that give employees a stake in the company's long-term success. • Meaningful Equity: • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.). • Retirement Savings: • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance. • Flexible Time Off: • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge. • Company-Wide Winter Break: • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments. • Paid Parental & Family Leave: • Professional Development: Annual learning and development allowance to support your professional growth. • Professional Development: • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being. • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service. • Sabbatical Program: • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams. • Flexible Work: • In-Office Meals: Complimentary meals at our office hubs. • In-Office Meals: • Benefits may vary by location, team, and role.
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