Senior AI/HPC Solutions Architect

NVIDIA

Virginia (MN)

On-site

USD 148,000 - 235,750

Full time

14 days+

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Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect Academic to drive deployment, integration, and validation of AI/HPC infrastructure across Linux-based environments for cutting-edge hardware. You will collaborate with design teams and customers from planning through implementation, creating documentation and enabling knowledge transfer to ensure successful rollouts of the world’s most advanced systems.

We value 6+ years of hands-on hardware/software deployment, Linux/DevOps expertise, and strong

Qualifications

6+ years providing in-depth support and deployment services; solving problems for hardware and software products.
Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).
Experience in configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance (ibdiag, etc.) and UFM (Unified Fabric Manager).
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 as they arise. Strong self-organizational skills and ability to prioritize/multi-task easily with limited supervision.
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.

Responsibilities

Deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first-of-kind NVIDIA hardware.
Be the domain authority with NVIDIA design engineering teams and external customers during planning calls through implementation.
Create and handover related documentation and perform knowledge transfers required to support customers as they roll out some of the most sophisticated systems in the world!
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.