Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Solutions Architect to empower OEM technical counterparts in developing accelerated compute and AI solutions, focusing on integrating NVIDIAโs software with OEM partners' offerings.
Responsibilities:
โข Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
โข Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
โข Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
โข Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
โข Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Qualifications:
Required:
โข BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
โข 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.
โข Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.
โข Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.
โข Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.
โข Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.
โข Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.
Preferred:
โข Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.
โข Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.
โข Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.
โข Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.
โข Public speaking experience at industry conferences or large technical events.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.