Senior Solutions Architect, AI Compute
Nvidia
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How this pay compares to similar roles
This role pays more than 68% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $219k versus about $193k for comparable roles.
Based on 240 similar postings.
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 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a Senior Solution Engineer, Compute Systems on the NVEX Solutions Engineering team, you will provide direct support to enterprise customers using GPU accelerated platforms like DGX, HGX, and MGX. You will triage hardware platform issues and AI/ML workloads in large datacenters of rack-scale platforms while contributing to products and software tooling. Your daily work involves managing customer cases from inception to resolution, providing logs for engineering teams, and documenting interactions to enhance the knowledge base. The role requires technical expertise in Linux, C/C++, Python, and multi-GPU platforms. You will utilize tools such as Docker, Kubernetes, or Slurm while applying agentic AI skills to solve problems. Key domain experience includes system software like firmware, BIOS, and kernels, alongside distributed GPU-accelerated workloads, CUDA, and high-performance computing technologies like NCCL and MPI.
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