Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- 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.
- BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
- Nice to have: Experience with NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA
- Nice to have: Integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems
- Nice to have: Technical leadership or principal investigator capacity on large-scale or secure enterprise projects
- Nice to have: Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies
- comprehensive benefits package
- equity