New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United StatesRemoteEst. $180K – $200K
Posted May 20, 2026
What We're Looking For
Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will own image management, system diagnostics, and validation across 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—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads. You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Systems, Image & Validation Infrastructure
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
Compensation
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—$200,000 USD
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role. Benefits include:
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
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
