Solutions Architect – OEM AI

This is a fully remote position, open to applicants in California.

📋 Description

• Create and implement GPU-accelerated pipelines designed to handle extensive (multi-TB and PB sizes) datasets related to cyber, network, and industry domains.

• Develop proof-of-concept discussions that demonstrate solutions for accelerated and AI compute workloads, addressing real customer challenges.

• Serve as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to advance innovative technical and business approaches.

• Oversee the development of Agentic AI workflows, which include semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN)-based applications for threat detection.

• Convert complex AI and cybersecurity research into actionable, deployable architectures tailored for enterprise and government clients.

• Integrate NVIDIA software and tools with the offerings of OEM partners.

• Promote adoption, create proof-of-concept technologies, and align technical communications with the broader product strategies of OEMs.

⛳️ Requirements

• BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related discipline (or equivalent experience).

• Over 5 years of experience in technology-focused roles, such as Solutions Architecture, Data Science, or AI Research.

• In-depth knowledge of supervised and unsupervised machine learning, deep learning, and statistics, especially as applied to loosely-structured data and security logs.

• Proficient coding, debugging, and pipeline development skills in Python, C/C++, Bash, and Linux utilities.

• Practical experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.

• Outstanding communication and presentation abilities, with the capacity to simplify complex technical topics into clear and engaging content.

• Strong analytical and problem-solving capabilities, with the ability to efficiently multitask in a dynamic setting.

• Direct experience in building, deploying, or contributing to NVIDIA open-source projects and tools such as Morpheus, RAPIDS, NVIDIA DPU DOCA, or similar NVIDIA accelerated compute libraries.

• Proven expertise in integrating AI workloads with Splunk or data pipeline architectures, as well as 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 the development of ingestion/retrieval technologies.

• Experience delivering presentations at industry conferences or large technical events.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.

• Equity.