> Markdown version of [/jobs/ext/3957092-infrastructure-engineer-gpu-compute](https://www.wearedevelopers.com/jobs/ext/3957092-infrastructure-engineer-gpu-compute). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer GPU & Compute - **Company:** Lightning AI - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Intelligent Platform Management Interface, Data Centers, Software Debugging, Linux, Firmware, IBM Hardware Management Console, Image Management, InfiniBand, Python (Programming Language), Linux System Administration, Reliability Engineering, System Software, System Testing, Virtualization Technology, Graphics Processing Unit (GPU), High Performance Computing, Bare Metal - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/infrastructure-engineer-gpu-compute-san-francisco-ca--4268f47a-af12-4818-8ebb-e1fce25401b8 ## About the Role GPU (Graphics Processing Unit), Artificial Intelligence (AI), Startup, GPU (Graphics Processing Unit), Image Management, Reliability Engineering, System Validation, Automation Systems, Validation Testing, Hubs, * 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 ## Description * Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision. * Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best. * Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft. * Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters. 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