Senior Solutions Architect, First Time Deployment Networking InfiniBand - NVIS

NVIDIA is looking for a Senior Solutions Architect to join their team in building large-scale AI/HPC systems. The successful candidate will be responsible for deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first-of-its-kind NVIDIA hardware.

Responsibilities:

• Deploy, manage, and validate AI/HPC infrastructure in Linux-based environments for first-of-its-kind NVIDIA hardware.
• Collaborate with NVIDIA design engineering teams and external customers during planning calls through implementation.
• Create and hand over 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:

• 6+ years of experience providing in-depth support and deployment services for hardware and software products.
• Knowledge and experience with Linux system administration, DevOps, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking.
• Experience in configuring, testing, validating, and issue resolution of LAN and InfiniBand networking.
• Experience with benchmarking tools such as HPL, NCCL tests, MLPERF.
• Scripting proficiency (Bash, Python, Ansible, etc.) and Automation tooling background (Ansible, Puppet, etc.).
• Familiarity with schedulers such as SLURM, LSF, UGE, etc.
• Kubernetes experience.
• Excellent interpersonal communication skills and the ability to deliver resolutions for customer issues.
• A willingness to travel to customer sites within the United States.
• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience.

Nice to Have:

• Cluster management technologies knowledge.
• Experience with GPU-focused hardware/software.
• Experience with MPI.
• Storage technologies such as Lustre or GPFS.
• Familiarity with Dell and Supermicro GPU platforms.