Senior Solutions Architect – AI Compute

NVIDIA

Senior Solutions Architect working with NVIDIA's Partner Network to deploy AI Compute solutions. Collaborating with customers and partners to optimize large-scale AI Compute projects.

Posted 4/13/2026full-timeRemote • District of Columbia, Florida, North Carolina • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

AnsibleKubernetesLinuxPython

About the role

Key responsibilities & impact

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 partners during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

Requirements

What you’ll need

8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
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.).
Experience with schedulers such as SLURM, LSF, UGE, etc.
Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
An ability to travel to customer sites within the United States up to 30% of the time.
Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

Benefits

Comp & perks

equity
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Hard Skills & Tools

Linux system administrationprocess managementpackage managementtask schedulingkernel managementboot proceduresperformance reportingnetwork routingscripting (Bash, Python, Ansible)scheduler experience (SLURM, LSF, UGE)

Soft Skills

interpersonal skillsproblem-solvingcustomer supportdocumentationknowledge transfer

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Electrical EngineeringBachelor's degree in Computer Engineering