NVIDIA
NVIDIA
NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.

AI Compute Engineer - California Remote

Deploy and validate Linux-based AI and HPC infrastructure for NVIDIA customers. Lead large-scale compute projects across networking, automation, system design, and customer implementation.

Description

  • Deploy, manage, and validate Linux-based AI and HPC infrastructure for new and existing customers
  • Serve as the technical domain expert throughout customer planning and implementation
  • Coordinate with customers, partners, and internal teams to define and deliver large-scale AI compute projects
  • Contribute across networking, system architecture, automation, and infrastructure validation
  • Create handover documentation and transfer knowledge as customers roll out complex systems
  • Improve internal products and processes by reporting bugs, documenting workarounds, and recommending enhancements

Requirements

  • At least four years of experience delivering in-depth support and deployment services while troubleshooting hardware and software products
  • Hands-on knowledge of Linux administration, including processes, packages, scheduling, kernel management, boot troubleshooting, performance analysis, logging, and advanced networking
  • Experience provisioning and managing clusters on bare-metal servers; Base Command Manager knowledge is an advantage
  • A four-year degree in Computer Science, Electrical Engineering, Computer Engineering, or a related equivalent background
  • Proficiency with Bash, Python, Ansible, or comparable scripting tools
  • Strong interpersonal skills with the ability to resolve customer issues effectively
  • Well-organized and able to prioritize multiple tasks with limited supervision
  • Experience using SLURM, LSF, UGE, or similar workload schedulers
  • Willingness to travel to customer sites within the United States for up to 20% of working time
  • Experience with HPL, NCCL tests, MLPerf, or other benchmarking tools
  • Experience with Kubernetes
  • Experience with InfiniBand
  • Experience supporting GPU-focused hardware and software
  • Experience with MPI
  • Experience with storage platforms such as Lustre or GPFS
  • Familiarity with OEM GPU platforms

Benefits

  • Equity compensation
  • Employee benefits
  • Equal opportunity employment

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