1. Data analysis and modeling: Responsible for collecting, cleaning and analyzing large-scale data sets. Use statistical analysis and machine learning techniques to discover patterns, trends, and insights in data, and to build predictive models and decision support systems.2. Algorithm development and optimization: Design, develop and optimize machine learning algorithms and deep learning models to solve various complex problems. Research and experiment with new algorithmic approaches, and tune and optimize algorithms for NVIDIA's hardware and software platforms.3. Model deployment and integration: Work closely with software engineers and system engineers to deploy the developed models and algorithms to the actual production environment. Responsible for model integration, performance optimization, and real-time inference to ensure models run efficiently on NVIDIA hardware.4. Solution Development: Collaborate with other teams to develop data-driven solutions and products. They work with product managers, business analysts, and engineering teams to ensure solutions meet customer needs and deliver business value in real-world scenarios.

Designing and developing data storage solutions, such as data warehouses, data lakes, or NoSQL databasesBuilding and maintaining ETL (Extract, Transform, Load) pipelines that move data from various sources into the organization's data storesWriting code to automate data processing tasks and data quality checksEnsuring data security, privacy, and compliance with regulations such as GDPR or HIPAACollaborating with data analysts and data scientists to understand their data requirements and provide the necessary infrastructure and toolsEvaluating and recommending new data management technologies and tools.

1. Software Development: Use programming languages and development tools to implement software functionality and follow coding standards and best practices.2. Programming and debugging: programming and debugging to ensure the correctness and stability of the software. Analyze and fix bugs and problems in software, conduct unit testing and integration testing to ensure the quality of software.3. Software design: Participate in the design and architecture of software systems. Design software modules, components, and interfaces based on requirements and functional specifications, and ensure software scalability, maintainability, and reusability