Senior System Engineer – GPU Platforms

• Support system bring-up, configuration, integration, validation, and troubleshooting of advanced GPU server platforms
• Execute and support GPU platform qualification activities, including NVIDIA NVQUAL or equivalent validation processes
• Install, configure, and troubleshoot Linux, GPU drivers, CUDA environments, firmware, libraries, and related software components
• Diagnose complex system issues using logs, telemetry, diagnostics, and vendor tools, and drive issues to resolution or appropriate engineering escalation
• Support multi-GPU server platforms throughout qualification, product launch, and post-release engineering activities
• Participate in customer-facing POC/EVAL engagements, including system preparation, technical calls, debugging, and issue resolution
• Collaborate with Architecture, Systems, Software, Validation, Product Management, other engineering teams, and external technology partners
• Develop technical documentation, troubleshooting guides, and best practices
• Deliver technical presentations, training sessions, and internal knowledge-sharing activities
• Serve as a technical resource and mentor for other engineers when appropriate

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience
• 5–15 years of relevant industry experience in systems engineering, server engineering, platform engineering, validation, technical enablement, HPC, AI infrastructure, or a related field
• Strong knowledge of enterprise server hardware and system architecture
• Hands-on experience with Linux server environments
• Experience installing, configuring, validating, and troubleshooting server hardware and software
• Strong system-level troubleshooting and root-cause-analysis skills
• Working knowledge of PCIe architectures and high-performance I/O
• Experience with GPU computing, accelerators, or comparable high-performance computing technologies
• Ability to independently manage complex technical assignments and drive issues toward resolution
• Strong written and verbal communication skills
• Ability to work effectively with cross-functional and geographically distributed engineering teams
• Comfortable participating in customer-facing technical discussions
• Preferred:
  Hands-on experience with NVIDIA data center or professional GPU platforms
• Preferred:
  Experience with CUDA and NVIDIA GPU software environments
• Preferred:
  Experience with NVIDIA NVQUAL or similar platform qualification processes
• Preferred:
  Experience with 4-GPU or 8-GPU server platforms
• Preferred:
  Familiarity with NVIDIA Blackwell, B200, Rubin, or comparable accelerator architectures
• Preferred:
  Knowledge of PCIe topology, NUMA, DMA, IOMMU, and GPU-to-NIC communication
• Preferred:
  Experience with GPUDirect RDMA, Infini Band, RoCE, or high-speed Ethernet
• Preferred:
  Familiarity with NCCL, NVML, DCGM, Fabric Manager, or similar GPU diagnostic and management tools
• Preferred:
  Experience with Docker, containers, Kubernetes, or related orchestration technologies
• Preferred:
  Experience supporting AI, machine learning, HPC, or accelerated computing environments
• Preferred:
  Experience with customer POCs, technical evaluations, or engineering escalations
• Preferred:
  Experience delivering technical training or knowledge-sharing sessions
• Bash, Python, or other scripting experience is a plus

Demonstrates expertise in GPU server platform support, including installation, configuration, and troubleshooting of Linux environments and GPU technologies. Proficient in system-level diagnostics, technical documentation, and cross-functional collaboration to drive complex technical assignments to resolution.

• GPU Computing
• Linux Server Environments
• System-Level Troubleshooting
• NVIDIA NVQUAL
• Technical Documentation

• GPU Drivers
• CUDA
• Server Hardware Configuration
• Root-Cause Analysis
• PCIe Architectures
• High-Performance Computing
• NVIDIA Data Center Platforms
• Docker
• Python Scripting
• Bash Scripting

• Strong Communication Skills
• Cross-Functional Collaboration
• Customer-Facing Technical Discussions
• Mentoring

• Systems Engineering
• Server Engineering
• Platform Engineering
• Technical Enablement
• AI Infrastructure
• HPC

• NCCL
• NVML
• DCGM
• Fabric Manager
• Infini Band
• RoCE
• High-Speed Ethernet
• Kubernetes