NVIDIA is seeking an experienced AI/ML Solutions Architect to join its team focusing on Hyperscale customers and Cloud Service Providers. This senior-level role involves leading technical engagements for large-scale AI training and inference infrastructure, working closely with NVIDIA’s engineering teams and customer organizations to ensure successful deployments. The ideal candidate will serve as a trusted advisor, translating customer needs into product requirements and innovative solutions while facilitating workshops and proof-of-concepts to showcase NVIDIA’s capabilities. Key responsibilities include optimizing AI models and pipelines, enhancing the value of NVIDIA technology, and providing feedback for future improvements. Candidates should have at least 8 years of relevant experience with Linux, Python, and GPU acceleration technologies like CUDA, along with expertise in cloud environments, Docker, Kubernetes, and deep learning frameworks such as PyTorch or JAX.
Skills
Python
CUDA
PyTorch
JAX
Linux
Docker
Kubernetes
HPC
GPU
Distributed Training
Inference Optimization
Vector Databases
RAG Pipelines
Multi-node Clusters
Deep Learning Frameworks
What you'll do
Lead technical engagement for AI training and inference at vast scale for Hyperscale customers.
Secure design wins by addressing challenges and bringing solutions to production for NVIDIA products.
Translate customer insights into product requirements and innovative AI/ML solutions.
Guide customers on standard processes for scalable AI model deployment and optimization.
Facilitate workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI capabilities.
Enhance the value of NVIDIA technology by providing feedback for future product improvements.
What we're looking for
8+ years of engineering experience in AI/ML-focused projects or enterprise-grade solutions.
Proven understanding of Linux for solving, optimizing, and customizing AI/ML workloads.
Strong knowledge of data science and machine learning infrastructure (software and hardware).
Proficient Python skills with ability to develop scripts and build custom tools.
Experience with Chatbots, RAG pipelines, vector databases, and distributed training/inference.
Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
Background in HPC environments for AI or ML applications.
Market check
Salary context
This
$184,000–$287,500
range sits above
74%
of similar postings on FindRole.
Peer median band
$172,400–$257,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$168,250–$241,850
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.