NVIDIA seeks an experienced Cloud Solution Architect to join its Solutions Architecture team, focusing on assisting clients in adopting NVIDIA’s GPU hardware and software for ML, DL, and data analytics solutions across various cloud platforms. This role involves collaborating with developers, researchers, and data scientists at strategic technology customers, as well as working closely with internal teams on product strategy. Key responsibilities include developing and demonstrating AI/ML solutions using NVIDIA's technologies, building custom PoCs to address critical business needs, and delivering technical content through presentations and workshops. The ideal candidate has 3+ years of experience in deep learning and machine learning, including hands-on work with TensorFlow or PyTorch, CUDA, Docker, Kubernetes, and cloud platforms like AWS, GCP, or Azure. Strong programming skills, particularly in Python, and the ability to communicate technical ideas effectively are essential.
Skills
AWS
GCP
Azure
TensorFlow
PyTorch
CUDA
RAPIDS
Kubernetes
Docker
Python
DevOps
CI/CD
NVIDIA GPUs
GPU-based systems
Deep Learning
Parallel programming
Distributed computing platforms
What you'll do
Develop and demonstrate AI/ML solutions using NVIDIA’s technologies on cloud platforms.
Build custom PoCs addressing critical business needs with NVIDIA hardware and software.
Identify new business opportunities by partnering with Sales Account Managers or Developer Relations Managers.
Deliver technical content such as presentations and workshops about NVIDIA products and solutions.
Conduct regular customer meetings to discuss project roadmaps, features, and introduce new technologies.
What we're looking for
3+ years of Solutions Engineering or equivalent experience in AI/ML solutions.
Deep expertise in TensorFlow, PyTorch, GPU, CUDA, and cloud computing platforms (AWS, GCP, Azure).
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Statistics, Physics, or related field.
Proven track record of deploying ML/DL solutions at scale on cloud-based GPU platforms.
Proficiency with DevOps tools like Docker, Kubernetes, and scripting languages such as Python.
Hands-on experience with NVIDIA GPUs, SDKs (CUDA, RAPIDS, Triton), and system-level GPU deployments.
Market check
Salary context
Below market
How this pay compares to similar roles
Similar $205k
This role $160k
$109k
most similar roles pay here
$261k
This role pays less than
81%
of similar roles. Most pay
$163,125–$246,150
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$205k
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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.
Python
TypeScript
Go
Rust
C++
Synthetic data generation
GPU-backed inference systems
Multi-agent workflows
Orchestration patterns
Complex long-running task systems
MCP
A2A-style communication patterns
Secure execution
Sandboxing
Secrets handling
Auditability
CI/CD