3 big data jobs found in Santa Clara, CA

We are now looking for a Senior Research Scientist for Generative AI! NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. What you'll be doing: Conduct original research in the space of generative AI Implement and train large-scale generative AI models for various content creation applications Collaborate with other research team members, a diverse set of internal product teams, and external researchers...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support). 5 years of experience in full cycle SAP implementations. 5 years of experience designing and implementing finance, Enterprise Resource Planning (ERP), or supply chain systems. Preferred qualifications: Master's degree or equivalent practical experience. 10 years of experience in full cycle SAP implementations and support projects. Experience with SDLC phases, including requirements gathering, blueprinting, authoring functional specifications, system configuration, testing, etc. Understanding of order management, booking, or product fulfillment processes. Excellent problem solving, people management, and communication skills, with a demonstrable bias toward action. Experience with SAP BRIM (SOM, CI). About...

Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...