Senior Solutions Architect, GPU Performance and LLM

Nvidia

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 172 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k

This role $236k

$149k $302k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $166,789–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $201k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 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 main technical point of contact for tech giants, developing and demonstrating solutions based on hardware and software technologies. Your daily responsibilities include conducting technical meetings, debugging performance issues, and building Proof of Concepts for cloud service integration. You will utilize deep learning frameworks like PyTorch and JAX, compilers such as Triton and XLA, and NVIDIA libraries including TRTLLM, TensorRT, Nemo, NCCL, and RAPIDS. The role focuses on solving complex problems in large scale LLM training, inference, and systems performance across AWS, GCP, Azure, and OCI environments using Docker and Kubernetes.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

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Skills

PyTorch JAX TensorRT Triton XLA NCCL RAPIDS TRTLLM AWS GCP Azure OCI Kubernetes Docker MLOps HPC LLM Training Inference

What you'll do

Develop and demonstrate AI/ML and HPC software solutions for large-scale customers.
Identify and secure new business opportunities for NVIDIA products in partnership with sales teams.
Serve as the primary technical point of contact for customers building intricate AI infrastructure.
Provide technical advice and debugging for large-scale LLM training and inference performance.
Conduct regular technical meetings to discuss product features, new technologies, and performance metrics.
Build Proof of Concepts (PoCs) to address critical business needs and cloud service integrations.
Analyze and resolve customer performance issues for both AI and systems performance.

What we're looking for

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields 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.
Effective engineering program management skills with the ability to balance multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Hands-on experience with Deep Learning frameworks, compilers, and NVIDIA libraries (preferred).
Experience deploying solutions in cloud environments and knowledge of DevOps/MLOps technologies (preferred).

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