Senior AI Compute Engineer - NVIS

NVIDIA is seeking a Senior AI Compute Engineer to join its Infrastructure Specialists team. The successful candidate will work on large-scale AI Compute projects, interacting with customers, partners, and internal teams to analyze, define, and implement solutions.

The role involves deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. The ideal candidate will be a domain expert with customers during planning calls through implementation, provide handover-related documentation, and perform knowledge transfers.

Responsibilities:

• Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments
• Be the domain expert with customers during planning calls through implementation
• Provide handover-related documentation and perform knowledge transfers
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements

Requirements:

• 8+ years of experience providing in-depth support and deployment services
• 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
• Cluster management and provisioning technologies for bare-metal servers
• 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
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision
• Experience with schedulers such as SLURM, LSF, UGE, etc.
• 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 as well as Kubernetes experience

Preferred qualifications:

• InfiniBand experience
• Experience with GPU focused hardware/software
• Experience with MPI
• Storage technologies such as Lustre or GPFS
• Familiarity with OEM GPU platforms

NVIDIA offers equity and benefits to its employees.