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Systems Operations Support Engineer — Linux

Vast AI· Operations
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Los Angeles$90k - $150k + equityFull-timePosted 2mo ago

About the role

Role focusing on escalated infrastructure issues across the full stack (hardware, BIOS/firmware, networking, Ubuntu, Docker, NVIDIA CUDA/GPU, and KVM) with ownership of end-to-end escalations, playbooks, and tooling to reduce repeat incidents.

Responsibilities

  • 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, acting as a technical resource through installation, configuration, and post-setup troubleshooting
  • Assist clients and infrastructure suppliers working with TensorFlow, PyTorch, and other GPU-accelerated workloads
  • Provide coverage for L1 support overflow during peak periods or incidents
  • Diagnose and resolve issues across Docker, NVIDIA CUDA/GPU drivers, and KVM virtualization environments
  • Troubleshoot network-layer issues, including VLAN, DNS, DHCP, VPN, NAT, firewall rules, and connectivity failures on host machines
  • Investigate performance issues involving GPU utilization, container resource constraints, thermal throttling, driver conflicts, and disk I/O bottlenecks
  • Advise suppliers on installation best practices, including hardware setup, driver configuration, BIOS/firmware settings, and network configuration for optimal performance
  • 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

Qualifications

  • 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

Skills

Required:Linux systems administrationDockerVirtualizationNetworkingNVIDIA GPUs / CUDAPythonBash scriptingCommunication

Benefits

  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded
Last updated Aug 16, 2026. Interested? Apply on the company site.
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