AI Compute Engineer - NVIS

Summary

NVIDIA is a technology company whose products support deep learning, data analytics, and data center systems. The AI Compute Engineer will deploy, manage, and validate large-scale AI Compute and HPC infrastructure in Linux-based environments while working with customers, partners, and internal teams. The role also involves customer planning, documentation, knowledge transfer, troubleshooting, and providing feedback to internal teams.

Responsibilities

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
• 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
• 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 schedulers such as SLURM, LSF, UGE, etc
• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience
• Bonus credit for BCM (Base Command Manager)
• InfiniBand 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

Qualifications

Must Haves

• 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
• 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 schedulers such as SLURM, LSF, UGE, etc
• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience

Nice to Haves

• bonus credit for BCM (Base Command Manager)
• InfiniBand 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.