6 jobs found

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? Our team is building an innovative Data Platform that employs advanced analytics, including prescriptive modeling and constrained optimization, for real-time routing and scheduling at scale. This platform encompasses data collection, processing, visualization, analysis, anomaly detection, root cause identification, and predictive modeling. Our data includes GPU...

NVIDIA needs a Senior Product Manager to drive NVIDIA's data strategy for generative AI, with a focus on synthetic and curated data for large language and visual models. In this role, you will craft the future of how data is built, refined, and deployed to advance frontier AI models. Working at the intersection of product, research, and engineering, you will craft and lead end-to-end data pipelines that are critical to safe, effective, and scalable GenAI systems. NVIDIA is committed to public data release, where your work will be prominently featured. This is a high-impact position that requires a rare mix of deep technical understanding, product intuition, and cross-functional leadership. What you’ll be doing: Lead the generative data roadmap—define and evolve our strategy for synthetic, curated, and real-world data used to train, fine-tune, and evaluate large-scale AI systems for a specific modality or model type. Craft and lead data pipelines...

Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities. CORE DUTIES: Collaborate with IT and business partners to devise a data strategy that caters to Stanford requirements. Deep understanding and commitment to software engineering principles/processes (e.g. Lean, Agile, DevOps, CI/CD) and continuous improvement through measurement Thorough knowledge, expertise, and practice Data Management Framework to design world-class data stores. Best practices, Data Quality, and security are critical. Understand data endpoints, consumers, and develop strategy.   Fluid end-to-end data vision, design pipelines for seamless data flow. Lead and perform the design, development, implementation, and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and...

We are looking for a Data Governance Analyst to drive data quality initiatives and champion data governance across our organization. This role focuses on partnering with our product, engineering and support teams to establish data standards, implement validation processes, and ensure data accuracy throughout our workflows. You'll collaborate across teams to develop and maintain data quality metrics, investigate discrepancies, and build automated monitoring solutions. This position offers the opportunity to shape how our organization views and values data quality while fostering a culture of data-driven decision making! What you'll be doing: Collaborating with partner teams to onboard new customer data, inclusive of metadata tagging and classification Establishing and maintaining metadata management systems to enhance data discoverability and usage Creating and deploying automated validation processes to maintain consistency with data management...

The Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling. We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression. This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational...