Solutions Architect – OEM AI

NVIDIA • Santa Clara, CA

1d • $152,000 - $287,500

About The Position

NVIDIA is seeking a self-starting Solutions Architect to support OEM technical counterparts in developing accelerated computing and AI solutions. The role is part of the Solutions Architecture and Engineering team and focuses on scaling information and protection integrations so customers and partners can build innovative defense solutions.

The position focuses on integrating NVIDIA software and tools with OEM offerings, potentially including platforms such as Splunk, Cisco AI threat protection, and other AI data pipeline solutions. The Solutions Architect will drive adoption, build proof-of-concept technologies, and align technical messaging with OEM product strategies. The work includes developing GPU-accelerated pipelines for very large cyber, network, and industry datasets; guiding Agentic AI workflows; and translating AI and cybersecurity research into deployable enterprise and government architectures.

Requirements

• Bachelor's, master's, or Ph.D. degree in Computer Science, AI Engineering, Data Science, or a related field, or equivalent experience.
• At least 5 years of experience in technology-focused roles, such as Solutions Architecture, Data Science, or AI Research.
• Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, particularly applied to loosely structured data and security logs.
• Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.
• Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.
• Exceptional communication and presentation skills, including the ability to explain complex technical topics clearly to an engaged audience.
• Strong analytical and problem-solving skills and the ability to multitask efficiently in a dynamic environment.

Nice To Haves

• Direct experience building, deploying, or contributing to NVIDIA open-source projects and tools such as Morpheus, RAPIDS, NVIDIA DPU DOCA, or similar NVIDIA accelerated-compute libraries.
• Demonstrated expertise integrating AI workloads with Splunk, data pipeline architectures, or AI security protection ecosystems.
• Experience in a technical leadership role or as a principal investigator on large-scale or secure enterprise projects.
• Background in Agentic AI, LLM deployment, and building ingestion and retrieval technologies.
• Public speaking experience at industry conferences or large technical events.

Responsibilities

• Design and implement GPU-accelerated pipelines to process very large, multi-terabyte and petabyte-scale cyber, network, and industry datasets.
• Develop proof-of-concept discussions to illustrate approaches to accelerated and AI compute workloads that address real customer issues.
• Serve as a technical lead and liaison among NVIDIA engineering, product teams, and OEM partners to advance technical and business strategies.
• Guide development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN)-based threat-detection applications.
• Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
• Integrate NVIDIA software and tools with OEM partner offerings and help drive adoption.

Benefits

• Comprehensive benefits package for employees and their families.
• Eligibility for equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level