Senior Solutions Architect, AI Cluster Performance and Telemetry

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA · Austin, TX
Salary
$184,000–$287,500 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $236k
$167k most similar roles pay here $300k

This role pays more than 73% of similar roles. Most pay $180,906–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, AI Cluster Performance and Telemetry

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As a Senior Solutions Architect specializing in Data Center Systems & Performance, you will join our elite team and serve as a technical expert bridging engineering, field teams, and customers with demanding requirements. Your primary responsibilities include identifying and resolving complex performance bottlenecks across GPU, CPU, and networking systems, maintaining robust benchmarking suites to stress-test high-performance clusters, and applying industry-standard tools to monitor hardware performance counters and extract system telemetry. You will collaborate closely with internal engineering units and external partners to develop solutions that enhance infrastructure performance. The ideal candidate has a strong background in system build, performance analysis, and technical customer-facing roles, along with expertise in CPUs, GPUs, high-speed networking fabrics, and tools like Perf, eBPF, Prometheus, Grafana, Docker, Kubernetes, and SLURM. Additionally, you should have experience optimizing distributed AI training workloads and integrating Agentic AI frameworks to automate cluster triage.

Skills

Perf eBPF Prometheus Grafana Docker Kubernetes SLURM Ansible NCCL NVIDIA Nsight Python C++ CUDA TensorFlow PyTorch CI/CD

What you'll do

  • Analyze and resolve complex performance bottlenecks in GPU, CPU, and networking systems.
  • Develop and maintain benchmarking suites for high-performance clusters.
  • Use industry-standard tools to monitor hardware performance counters and extract system telemetry.
  • Investigate configurations to identify and fix issues impacting peak performance.
  • Collaborate with internal teams and customers to enhance infrastructure performance.

What we're looking for

  • 8+ years of industry experience in system build, performance analysis, and technical customer-facing roles.
  • Strong understanding of CPU-GPU interactions and high-speed networking fabrics in massive clusters.
  • Practical experience with performance tools like Perf, eBPF, Prometheus, and Grafana.
  • Experience working with containers, cloud provisioning, and scheduling tools such as Docker, Kubernetes, SLURM.
  • Ability to transform raw telemetry into structured time series data and create actionable narratives.
  • Deep knowledge of multi-GPU communication libraries and NVIDIA hardware architectures.
  • Practical experience optimizing distributed AI training workloads and integrating agentic AI frameworks.

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