SAPSAP China iXp Intern - Generative AI Developer - 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 a Full-time master’s degree in computer science or a related field; knowledge and experience in Generative AI, machine learning, or data analytics would be advantageous. Familiarity with mainstream programming languages, such as Python, TypeScript/JavaScript, or Java.…
工作职责
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.
Architect AI Agents – Design, orchestrate, and deploy robust AI agent architectures, including multi-agent systems, reasoning frameworks, and dynamic tool-use capabilities (RAG, APIs) to automate complex business workflows and analytics. Develop Agent Harnesses & Evaluation Pipelines – Build and maintain robust testing harnesses (Agent Harness), simulation environments, and CI/CD pipelines to rigorously evaluate agent performance, safety, reasoning logic, and tool-calling accuracy before production deployment. Collaborate & Innovate – Work closely with cross-functional teams to identify opportunities, gather requirements, and transform business challenges into scalable, agentic AI solutions. Build Robust Systems – Partner with data engineers and platform architects to implement high-performance, real-time GenAI applications. Ensure robust state management, secure memory handling, safety guardrails, and low-latency decisioning. Explore & Evolve – Stay at the forefront of LLM advancements and agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, Semantic Kernel). Continuously research and implement new paradigms in AI reasoning, planning, and evaluation to refine the team’s capabilities. Communicate Insights – Present complex agent architectures and GenAI strategies to business stakeholders and executives, ensuring technical innovations translate into meaningful business outcomes.

1、熟练运用 ComfyUI、Stable Diffusion、Midjourney、Runway、Seedance、Pika、Kling、Luma、Sora(或同类视频生成工具)等主流生成式 AI 工具,根据剧本、分镜、故事大纲或导演创意,高效产出概念设计图、角色探索稿、风格参考帧、镜头气氛图及场景环境设计; 2、持续跟踪并实验评估行业最新生成式 AI 技术与工作流,包括图像生成、视频生成、3D生成、动作生成、语音与多模态方向,在项目全周期内积极测试并验证新技术的实际制作价值; 3、 结合生成式 AI 与 Photoshop、Maya、Houdini、Blender、Cinema 4D、Harmony、Substance Painter、ZBrush 等传统 DCC 软件,制作可直接进入镜头流程的高质量资产,包括角色、道具、环境、特效与动画内容; 4、负责图像模型、视频模型及风格模型的搭建、训练、微调与优化,包括 LoRA、ControlNet、IPAdapter、Flux、SDXL、Wan、AnimateDiff 等技术方向,提升模型输出质量、稳定性与风格统一性; 5、 系统性测试不同 AI 工具、模型与混合工作流方案,输出标准化实验报告、技术文档及最佳实践建议,推动团队 AI 制作能力持续升级; 6、 与导演组、制片组、技术美术(TA)、动画团队及研发团队协同,共同开发 Generative AI + 传统动画的混合生产管线,持续提升团队创意效率与内容质量; 7、参与镜头级视觉探索,能够从“叙事驱动”角度思考 AI 内容生成,而不仅仅停留在静态画面产出,包括镜头语言、节奏、情绪氛围、角色表演及视觉连续性的设计; 8、 在项目开发阶段参与视觉世界观构建,包括风格统一、角色语言、色彩体系、镜头调性与视觉叙事逻辑制定,辅助导演完成创意落地; 9、 探索 AI 在动画、番剧、PV、短片、游戏演出等领域的创新表达形式,推动实验性内容与新型创作模式落地。
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization - Provide customer and market feedback to product and engineering teams to help define product direction