Solutions Architect – OEM AI
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is looking for a Solutions Architect in Accelerated Compute Data & Security to join our Solutions Architecture and Engineering team.
You will integrate NVIDIA software and tools with OEM partners' offerings, focusing on high-performance computing, data workflows, and AI security.
Your efforts will drive adoption, build proof-of-concept technologies, and scale the efficiency of our information and protection integrations.
Key responsibilities
- 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.
- Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Qualifications
- 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.
- 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, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.
- Strong 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.
Benefits
- Highly competitive salaries and a comprehensive benefits package (www.nvidiabenefits.com/)
- Equity eligibility
Job details
- Base salary range: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4
- Application deadline: At least until November 13, 2026
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It is a unique legacy of innovation fueled by great technology and amazing people, and is widely considered to be one of the technology world's most desirable employers.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
