[Remote] AI Compute Engineer - NVIS

Note: The job is a remote job and is open to candidates in USA. NVIDIA is looking for an AI Compute Engineer to join its Infrastructure Specialists team. This role involves deploying, managing, and validating AI Compute infrastructure in Linux-based environments while collaborating with customers and internal teams on large-scale AI Compute projects.

Responsibilities

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based customer environments
• Be the domain expert with customers during planning calls through implementation
• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements

Skills

• 4+ years providing in-depth support and deployment services; 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, network-routing/advanced networking (tuning and monitoring)
• 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 (Bash, Python, Ansible, etc.)
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision
• Experience with cluster management tools such as SLURM, Kubernetes, LSF, etc
• An 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, MLPerf
• InfiniBand and/or high speed Ethernet and RoCE experience
• Experience with GPU (Graphics Processing Unit) focused hardware/software
• Experience with MPI (Message Passing Interface)
• Storage technologies such as Lustre or GPFS
• Familiarity with OEM GPU platforms

Benefits

• You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

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