below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$163,500–$235,750.
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.
Senior Solutions Architect, NVIDIA Cloud Partners - Telco serves as a trusted technical advisor within an interdisciplinary team, bridging the design and deployment of large-scale AI and HPC GPU infrastructure. The role involves collaborating with cloud partners to implement hardware and software solutions, driving offtake by integrating libraries, frameworks, and models into production environments. Key responsibilities include conducting technical meetings, building proofs of concept, and delivering reference architectures to address critical business needs. Candidates must possess expertise in Deep Learning, LLMs, and GPU technologies, with proficiency in Python, PyTorch, and TensorFlow. The position requires experience crafting distributed cloud architectures and managing complex multi-disciplinary engagements. The work focuses on solving technical challenges related to GPU cloud infrastructure, inference, training workloads, and cluster orchestration.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 11 companies.
Drive the design, development, construction, and production of GPU Cloud infrastructure and applications for customers.
Integrate libraries, frameworks, and software applications to drive consumption of NVIDIA GPU platforms.
Build and adopt NVIDIA solutions through Proof of Concepts to address critical customer business needs.
Deliver technical content including presentations, workshops, reference architectures, and tutorials to customers.
Conduct technical meetings for project details, feature discussions, new technology introductions, and debugging sessions.
Provide product strategy recommendations based on technical feedback from strategic customers and partners.
Manage end-to-end technology solution integration for large-scale AI and HPC GPU infrastructure.
What we're looking for
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
6+ years of Solution Engineering, Sales Engineering, Cloud Engineering, or Solution Architecture experience working with partners and customers.
Experience crafting and deploying large-scale cluster environments and designing distributed Cloud architectures.
Strong fundamentals in programming, optimizations, and software design, especially in Python and Deep Learning frameworks like PyTorch and TensorFlow.
Practical expertise fine-tuning and deploying models and integrating software application stacks, libraries, and frameworks to drive GPU platform consumption.
Excellent presentation, communication, and collaboration skills with the ability to manage multiple tasks and drive complex technical engagements.
Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models (preferred).
Hands-on expertise with scaled AI cloud environments (AWS, Azure, GCP) and on-premises/hybrid infrastructure (preferred).
Remote (Santa Clara, CA)+360 days ago
$184,000–$287,500
GPU
HPC
AI
ML
GenAI
NVIDIA Hardware
NCCL
DCGM
UFM
Mission Control
Base Command Manager
SLURM
K8s
Data Center Design
Cluster Administration
Performance Testing
AI Benchmarking
GPU Infrastructure
HPC
GenAI
AI
ML
Data Center Design
NCCL
DCGM
UFM
Mission Control
Base Command Manager
SLURM
Storage
Performance Testing
AI Benchmarking
Cluster Administration
GPU
CUDA
Machine Learning
Deep Learning
HPC
Kubernetes
Docker
Slurm
GPGPU
Generative AI
Agentic AI
Data Science
Parallel Computing
Networking
Foundation Models