This role pays more than
77%
of similar roles. Most pay
$162,000–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$199k
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.
As a Senior Solutions Architect, Generative AI Deployment and AIOps, you will serve as a trusted technical advisor to customers building solutions with advanced AI technology. You will collaborate with internal engineering, product, and business teams to define high-value solutions while engaging directly with developers, researchers, and data scientists. Your daily work involves developing proof-of-concepts for inference involving Generative AI and Large Language Models, as well as performing performance and power efficiency analysis of inference workloads on Kubernetes. You will utilize technologies including PyTorch, TensorFlow, Python, C++, NVIDIA NIM, Dynamo, TensorRT, and TensorRT-LLM. The role focuses on the technical challenges of GPU orchestration, Multi-Instance GPU management, and MLOps solutions to optimize deep learning inference in production environments while leveraging specialized hardware and software platforms for large-scale model deployment.
What does a Solutions Architect earn in Remote?
Median $231100 from 71 postings across 13 companies.
Remote (Santa Clara, CA)+143 days ago
$184,000–$287,500
GPU
InfiniBand
RoCE
RDMA
NCCL
NVLink
NVSwitch
Kubernetes
Slurm
Python
Linux
High-Performance Computing
Distributed Systems
Shell Scripting
DCGM
Nsight Systems