Solutions Architect – OEM AI

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 • Integrate NVIDIA software and tools with OEM partners’ offerings • Drive adoption, build proof-of-concept technologies, and align technical messaging with OEMs’ broader product strategies

🎯 Requirements

• 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 • 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 • Comprehensive benefits package • Equity

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