SAPSAP China iXp Intern - AI Developer Intern - Shanghai
任职要求
We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Currently pursuing or enrolled full-time with a degree in Computer Science, Software Engineering, or related field Available for a 6-month internship, working 3+ days per week Foundations: Working knowledge of transformers, embeddings, RAG, and the trade-offs between prompting and fine-tuning. Strong coding: Proficiency in Python; able to move from idea to prototype quickly. Git/GitHub proficiency required. Data & pipeline basics: Familiarity with Pandas/NumPy and/or basic SQL; able to build small data pipelines, write clean data loaders, log experiments/results, and present findings in a visualized way. Integration fluency: Skilled at wiring up LLM APIs and common tooling (e.g., Hugging Face, LangChain, LlamaIndex, or equivalents). Curiosity & rigor: Asks sharp questions, challenges assumptions, and follows evidence. Preferred Qualification: Full-stack prototyp…
工作职责
Translate insights from AI research, academic papers, and industry updates into working prototypes and real-world applications. Design, build, and iterate on AI-powered applications, integrating APIs, vector databases, and agent frameworks. Develop and maintain evaluation datasets, define success metrics, and run systematic tests to guide iteration and improvement. Document experiments and prototypes clearly to ensure reproducibility and support team learning.
• Work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
• You will work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
Engage with the latest BTP and Generative AI technologies, applying them to solve real-world business challenges Collaborate globally with cross-functional teams to design, prototype, and test innovative solutions within the BTP ecosystem. Participate in ideation sessions and contribute to planning of new technology implementations.
We are looking for a Generative AI Intern Engineer to join the NVIDIA Developer Technology group (Devtech) and work with a team of experienced engineers on innovative uses of AI for games and content creation. The Devtech team works with NVIDIA researchers and leading game developers to bring cutting edge AI research from across NVIDIA and the industry to gamers and 3D professionals in high performance packages such as real-time inferenced graphics, physics and animations. What you’ll be doing: • Research and implement innovative generative AI algorithms for game engines and authoring tools, including real-time neural graphics, physics based animation and diffusion models. • Develop neural graphics, animation and physics models and maintain open-source projects for both game-making and user runtimes. Integrate them into mainstream game engines and DCC tools. • Use various optimization techniques, such as tensor fusion and quantization, to fit the AI models onto user devices and maximize the performance of inference for real-time gaming. • Collaborate with game developers on optimizations and improvements for specific GenAI applications. • Interact closely with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures.