AI Compute Engineer

NVIDIA  ยท  via Remote Communications Jobs
๐Ÿ’ฐ $124,000 - $195,500/yr ๐ŸŒŽ Remote ๐Ÿ“ Remote, California โฐ Full Time

Job Description:

  • Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
  • Act as the domain expert with customers from planning calls through implementation
  • Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects
  • Work across networking, system design, automation, and validation
  • Prepare handover-related documentation and perform knowledge transfers as customers begin rolling out sophisticated systems
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements

Requirements:

  • 4+ years providing in-depth support and deployment services and solving problems for hardware and software products
  • Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, and network routing/advanced networking
  • Cluster management and provisioning technologies for bare-metal servers; bonus credit for BCM (Base Command Manager)
  • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience
  • Scripting proficiency in Bash, Python, Ansible, or similar
  • Excellent interpersonal skills and ability to deliver resolutions for customer issues
  • Strong organizational skills and ability to prioritize/multi-task with limited supervision
  • Experience with schedulers such as SLURM, LSF, or UGE
  • Ability to travel to customer sites within the United States up to 20% of the time
  • Experience with benchmarking tools such as HPL, NCCL tests, and MLPerf
  • Kubernetes experience
  • InfiniBand experience
  • Experience with GPU-focused hardware/software
  • Experience with MPI
  • Experience with storage technologies such as Lustre or GPFS
  • Familiarity with OEM GPU platforms

Benefits:

  • Equity
  • Benefits
  • Equal opportunity employer