> Markdown version of [/jobs/ext/3970866-ai-hpc-gpu-infrastructure-support-engineer](https://www.wearedevelopers.com/jobs/ext/3970866-ai-hpc-gpu-infrastructure-support-engineer). 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). --- # AI, HPC & GPU Infrastructure Support Engineer - **Company:** VAST, INC. - **Location:** Los Angeles, CA, United States (Remote available) - **Salary:** $90,000.0 - $160,000.0 - **Contract:** Temporary contract - **Skills:** Proxmox, Artificial Intelligence, Bash Shell, BIOS, Ubuntu (Operating System), CentOS, Command-Line Interface, Cloud Computing, Nvidia CUDA, System Configuration, Dynamic Host Configuration Protocol, Debian Linux, Software Debugging, Linux, Network Address Translation, Domain Name System (DNS), Firmware, General-Purpose Computing on Graphics Processing Units, Monitoring of Systems, Hypervisor, Image Management, Virtual Private Networks (VPN), Python (Programming Language), Kernel-Based Virtual Machine, Network Configuration and Change Management, Red Hat Enterprise Linux, Tensorflow, Prometheus, Virtual Local Area Networks, Virtual Machines, Virtualization Technology, AI Infrastructure, Graphics Processing Unit (GPU), Pytorch, Grafana, Hardware Infrastructure, Comptia Linux+, Firewall Services Module, Docker, Vmware - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-hpc-gpu-infrastructure-support-engineer-los-angeles-ca--e3bd1781-c02d-4cb2-a2b9-aa6fbfa82dbc ## About the Role GPU (Graphics Processing Unit), Technical Support, Artificial Intelligence (AI), Artificial Intelligence (AI), Cloud Computing, Root Cause Analysis, Identify Issues, Communication Skills, GPU (Graphics Processing Unit), Linux Operating System, * Experienced with Linux, especially Ubuntu, and comfortable troubleshooting from the command line * Someone who enjoys debugging difficult problems and fixing broken systems * Methodical and focused on finding root causes, not just temporary fixes * Able to manage complex tickets independently * A clear written communicator with an interest in AI infrastructure and GPU computing Must-Haves * Strong Linux systems operations experience with Ubuntu, RHEL/CentOS, or Debian, including networking, storage, services, and permissions * Proficiency with Docker, including container debugging, Docker Compose, image management, cgroup limits, and Docker storage and filesystem troubleshooting * Experience with virtualization platforms such as Proxmox VE, VMware, or similar hypervisors, including VM provisioning and troubleshooting * Strong networking fundamentals, including VLANs, DNS, DHCP, NAT, VPNs, firewall rules, and L2/L3 troubleshooting * Hands-on experience with NVIDIA GPU drivers, CUDA, and GPU workload troubleshooting * Python and Bash scripting skills for automation and diagnostic tooling * Strong written English communication that is clear, professional, and technically precise * Experience providing technical support in a customer-facing or internal help desk environment * Ability to prioritize across a concurrent queue of escalated tickets, triaging by severity and customer impact, balancing reactive resolution against proactive documentation and tooling work, and making clear judgment calls on when to escalate versus own resolution end-to-end Nice-to-Haves * Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and running GPU-accelerated containers * Monitoring and observability experience (Prometheus, Grafana) * Relevant certifications: RHCSA, CompTIA Linux+, or similar * Knowledge of the Vast.ai platform as a client or infrastructure supplier ## Description This role focuses on troubleshooting complex Linux and GPU infrastructure issues across NVIDIA drivers, CUDA, GPU workloads, Ubuntu, Docker, KVM based virtual machines, networking, hardware, BIOS, and firmware. You'll investigate failures, reproduce issues, identify root causes, and propose practical solutions across the full infrastructure stack. You'll also serve as the engineering resource our L1 support team relies on when tickets go beyond frontline triage. You'll own complex escalations end-to-end, gather technical evidence, coordinate with the appropriate teams, and communicate findings clearly to clients, infrastructure suppliers, and internal teams. The best engineers in this role don't just resolve individual issues-they recognize recurring patterns, improve diagnostic tooling, and build runbooks that prevent future incidents. You'll collaborate directly with the engineering and host support teams on systemic Linux, GPU, and infrastructure problems. Strong GPU troubleshooting experience, Linux systems knowledge, and technical support skills are the primary requirements. You should be comfortable working autonomously in Ubuntu environments and troubleshooting NVIDIA drivers, CUDA, containers, virtual machines, networking, hardware, and GPU workloads. Vast.ai users or hosts strongly preferred. Location and Schedule This is a full-time position based in our Westwood, Los Angeles office. Available schedules: * Monday-Friday: Fully on-site * Sunday-Thursday: Four days on-site and one day working from home, * Diagnose and resolve issues across NVIDIA CUDA/GPU drivers, Docker, and KVM virtualization environments * Investigate GPU utilization, container resource constraints, thermal throttling, driver conflicts, and disk I/O bottlenecks * Assist clients and infrastructure suppliers working with TensorFlow, PyTorch, and other GPU-accelerated workloads * Troubleshoot network-layer issues, including VLAN, DNS, DHCP, VPN, NAT, firewall rules, and connectivity failures on host machines * Handle escalated support tickets involving GPU workload failures, container issues, networking problems, account infrastructure, and host-side configuration * Provide managed support for supplier onboarding and ongoing machine management, including installation, configuration, and post setup troubleshooting * Advise suppliers on hardware setup, driver configuration, BIOS and firmware settings, and network configuration for optimal performance * Provide coverage for L1 support overflow during peak periods or incidents * Write and maintain internal runbooks, escalation guides, and knowledge base articles to reduce repeat escalations * Build diagnostic and automation tooling in Python and Bash to reduce manual triage overhead * Collaborate with the engineering and support teams to flag and document systemic or recurring platform issues