NVIDIA
AI
SolutionsArchitect,OEM
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect, OEM at NVIDIA. Skills: Solutions Architecture, Accelerated Compute, AI, Data Workflows, AI Security, GPU-accelerated pipelines, Agentic AI workflows, machine learning, deep learning, Python, C/C++, Bash, Linux utilities, big data, Spark. Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets. Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI ”
What You'll Achieve.
scaling the efficiency of our information and protection integrations; ensuring our customers and partners are equipped to build the future of innovative defense; driving adoption; building proof-of-concept technologies; aligning our technical messaging with our OEMs' broader product strategies
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience), 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research, Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs, 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, with an ability to distill complex technical topics into clear, understandable content for an engaged audience, analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment
Nice to Have
Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries, Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems, Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects, Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies, Public speaking experience at industry conferences or large technical events
What You'll Do.
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber
and industry datasets
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues
Function as a technical lead and liaison between NVIDIA engineering
and OEM partners to drive innovative technical and business strategies
Guide the development of Agentic AI workflows
including semantic search
retrieval-augmented generation (RAG)
and Graph Neural Network (GNN) based applications for threat detection
scaling the efficiency of our information and protection integrations
ensuring our customers and partners are equipped to build the future of innovative defense
integrating NVIDIA’s software and tools with our OEM partners’ offerings
building proof-of-concept technologies
aligning our technical messaging with our OEMs' broader product strategies
How You'll Work.
Team & Collaboration
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners
Communication Scope
Exceptional communication and presentation skills; ability to distill complex technical topics into clear, understandable content for an engaged audience; Public speaking experience
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense. As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA’s software and tools with our OEM partners’ offerings. This may involve working with AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies. **What you 'll be doing:** * Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets. * Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues. * Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection. **What we need to see:** * BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience). * 5+ years of experience in roles focused
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