Solutions Architect, AI & Accelerated Compute (OEM)

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation in Santa Clara is seeking a Solutions Architect to scale GPU-accelerated data pipelines and AI security integrations for OEM partners. You will drive proof-of-concept work and align technical messaging with partner product strategies.

Responsibilities include leading migrations of AI workloads, designing semantic search and retrieval-augmented generation workflows, and translating complex AI research into practical enterprise architectures.

Qualifications

• BS, MS or PhD in CS/AI/Data Science or equivalent experience.
• 5+ years in solutions architecture, data science or AI research.
• Deep ML/DL/statistics expertise applied to security data and logs.
• Strong coding in Python, C/C++, Bash; proficient Linux skills.
• Experience with big data, GPU-accelerated frameworks and Spark.

Responsibilities

• Design and implement GPU-accelerated pipelines for large cyber/network datasets.
• Lead proof-of-concept discussions on accelerated AI compute workloads.
• Liaise NVIDIA engineering, product teams and OEM partners on strategy.
• Guide Agentic AI workflows: semantic search, RAG, and GNN-based apps.
• Translate AI/security research into deployable enterprise architectures.

Skills

Python

C/C++

Bash

Linux

Spark

GPU acceleration

Data pipelines

Communication

Education

BS/MS/PhD in CS/AI/DS

Tools

Splunk

NVIDIA Morpheus

RAPIDS

NVIDIA DOCA

Job description

NVIDIA Corporation in Santa Clara is seeking a Solutions Architect to scale GPU-accelerated data pipelines and AI security integrations for OEM partners. You will drive proof-of-concept work and align technical messaging with partner product strategies.

Responsibilities include leading migrations of AI workloads, designing semantic search and retrieval-augmented generation workflows, and translating complex AI research into practical enterprise architectures.