Senior AI Compute Engineer

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers.

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

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 required to support customers
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements

Requirements:

• 8+ 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.
• 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 as well as Kubernetes experience

Preferred qualifications:

• 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

Salary: 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.