Senior Solutions Architect, GPU Performance and LLM

Nvidia

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WA
Salary: $184,000–$287,500 / yr
Posted: 126 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 77% of similar roles. Most pay $177,775–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $207k for comparable roles.

Based on 239 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 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

TL;DR · Senior Solutions Architect, GPU Performance and LLM

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As a Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers, you will join the Solutions Architecture team to help large customers build AI/ML and HPC software solutions at scale. You will serve as the primary technical point of contact for clients developing complex AI infrastructure, providing end-to-end technology solutions, performance advice, and debugging sessions. Your daily work involves collaborating with internal teams to identify business opportunities, conducting technical meetings, and building Proofs of Concept to address critical needs like large scale LLM training and inference. You will utilize technologies including PyTorch, JAX, Triton, XLA, TensorRT, NeMo, NCCL, and RAPIDS while navigating environments involving Docker, Kubernetes, and cloud platforms like AWS, GCP, Azure, or OCI. The role focuses on solving performance issues for AI and systems within the hyperscaler domain.

What does a Solutions Architect earn in California?

Median $235750 from 45 postings across 8 companies.

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Skills

PyTorch JAX Triton XLA TensorRT TRTLLM NeMo NCCL RAPIDS AWS GCP Azure OCI Docker Kubernetes MLOps

What you'll do

Develop and demonstrate technical solutions using NVIDIA software and hardware for major technology customers.
Identify and secure new business opportunities in partnership with Sales and Developer Relations teams.
Serve as the primary technical point of contact for customers building complex AI infrastructure.
Provide expert advice on performance optimization for large-scale LLM training and inference.
Conduct technical meetings to discuss product features, provide performance advice, and lead debugging sessions.
Build Proofs of Concept (PoCs) to address critical customer needs and support cloud service integration.
Analyze and resolve complex performance issues related to AI and system infrastructure.

What we're looking for

BS/MS/PhD in Electrical Engineering, Computer Science, Physics, or another engineering field or equivalent experience.
8+ years of engineering experience in performance, systems, or solutions.
Hands-on experience building performance benchmarks for data center systems, including large-scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to application performance.
Experience with Deep Learning frameworks (PyTorch, JAX), compilers (Triton, XLA), and NVIDIA libraries (TRTLLM, TensorRT, etc.).
Experience deploying solutions in cloud environments (AWS, GCP, Azure, OCI) and knowledge of DevOps/MLOps technologies like Docker and Kubernetes.
Ability to communicate complex ideas clearly through documents, presentations, and in customer-facing environments.
Proficiency with command line tools.

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