Senior Solutions Architect, AI Infrastructure
Nvidia
At a glance
AI generatedJoin NVIDIA as a Senior AI Compute Engineer, working closely with enterprise customers, partners, and internal teams to deploy and manage large-scale AI compute systems. This role involves deploying and validating AI/HPC infrastructure in Linux environments, providing technical expertise during planning and implementation phases, and creating comprehensive documentation for knowledge transfer. You will collaborate extensively across teams to solve complex issues, optimize system performance, and suggest improvements through detailed feedback. Ideal candidates have over eight years of experience in Linux system administration, cluster management, and scripting with Bash, Python, and Ansible. Familiarity with schedulers like SLURM and GPU-focused hardware/software is essential, along with strong interpersonal skills to deliver effective customer support. This position requires up to 30% travel within the United States for on-site deployments and collaboration.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 76% of similar postings on FindRole.
Peer median band
$177,310–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$184,900–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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