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Solutions Architect – OEM AI

NVIDIA
  • Santa Clara, California
    5 days ago

    Job Description

    NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

    As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA’s software and tools with our OEM partners’ offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.

    What you'll be doing:

    • 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.

    What we need to see:

    • 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.

    Ways to stand out from the crowd:

    • 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.

    Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

    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.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until November 13, 2026.

    This posting is for an existing vacancy. 

    NVIDIA uses AI tools in its recruiting processes.

    NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

    Numbers & Facts

    LocationSanta Clara, California
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • Analysis Skillsunmatched
    • Apache Sparkunmatched
    • Artificial Intelligence (AI)unmatched
    • Bash Scriptingunmatched
    • Big Dataunmatched
    • Business Strategyunmatched
    • C Programming Languageunmatched
    • C++ Programming Languageunmatched
    • Cisco Network Systemsunmatched
    • Computer Architectureunmatched
    • Computer Programmingunmatched
    • Computer Scienceunmatched
    • Computer Securityunmatched
    • Computer Systemsunmatched
    • Conferencesunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Debugging Skillsunmatched
    • Distributed Computingunmatched
    • Ecosystemsunmatched
    • Enterprise Architectureunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Governmentunmatched
    • Information/Data Security (InfoSec)unmatched
    • Internet Securityunmatched
    • Linux Operating Systemunmatched
    • Messaging Technologyunmatched
    • Multitaskingunmatched
    • OEM (Original Equipment Manufacturer)unmatched
    • Open Sourceunmatched
    • Presentation/Verbal Skillsunmatched
    • Problem Solving Skillsunmatched
    • Product Strategyunmatched
    • Proof of Conceptunmatched
    • Python Programming/Scripting Languageunmatched
    • Security Architectureunmatched
    • Splunkunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched

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