英伟达Generative AI Engineer Intern, Games - 2025
任职要求
• Pursuing B.S., M.S. or Ph.D. undergraduate in EE/CS. • Recent research experience in physics simulation, such as robot kinematics, material point method and fluid implicit particle. • Strong knowledge of animation system, including state-based animation controllers, motion matching, inverse kinematics, rigging and skinning. • Recent active experience with deep learning frameworks, Python, and C++ development. Ability to use CUDA (or parallel programming) for performance optimization. • Working knowledge of graphics APIs (DirectX or Vulkan) and real-time applications. • Sharp mathematical skills. • Good communication and interpersonal skills in English and Mandarin. Ways to stand out from the crowd: • Contributing to a popular open-source project or work on an interesting side-project. • Understanding of parallel computing, 3D graphics and modern GPU architectures. • Working knowledge of Agile principles and methods.
工作职责
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.
美图影像研究院(MT Lab)专注于计算机视觉、深度学习与计算机图形学等前沿算法的研究与应用。我们为美图产品提供核心技术支持。团队汇聚顶尖人才，致力于推动影像技术的突破，让科技与艺术美好交汇。 MT Lab focuses on R&D of cutting-edge algorithms in CV, deepearning, and computer graphics. We provide core technicalsupport for Meitu products.Our team of top talent is dedicated to advancing imagingtechnology, beautifully merging science and art. 岗位名称：计算机视觉实习生 工作地点：深圳 主要岗位方向： ● 计算机视觉和机器学习 ● 多模态的图片及视频生成 ● 数据分析，质量监控和数据处理 岗位职责： ● 搭建并运行生成式模型的推理流程，用于多样化视频数据的生成 ● 参与设计和渲染合成视频场景，提升数据的多样性与覆盖度 ● 开发自动化脚本和工具，支持数据生成、处理和结构化管理 ● 协助构建高质量视频数据集，为后续的模型训练与评估提供支持 ● 团队成员协作，解决模型与数据相关的问题，并进行实验性分析与对比
In this role, you will collaborate within a cutting-edge global team to support data-driven projects. Your responsibilities will span the end-to-end data lifecycle, leveraging AI technologies to enhance efficiency: Data Processing & Analysis: Clean, transform, and analyze large-scale datasets; develop automated pipelines for structured/unstructured data. AI Tool Implementation: Apply machine learning libraries and generative AI tools to optimize data tasks. Insight Generation: Visualize data trends and deliver actionable reports to stakeholders. Process Optimization: Document workflows and propose AI-enhanced solutions for data quality and efficiency. Cross-functional Collaboration: Partner with engineers and product teams to deploy data solutions. You will drive results with proactive ownership, continuously exploring emerging AI/ML technologies to build scalable data services.
Location: Beijing THE ROLE: AMD is looking for an AI R&D intern to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD’s abilities to explore the highest quality, academic/industry-leading technologies. THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Research the latest advancements and technologies in Generative AI, more specifically image/video/world generation, MLLM, designing and developing innovative applications aligned with company needs. Study the SOTA generation algorithms and enhance the accuracy and performance of existing models. Explore optimized deployment approaches ensuring efficiency in production environments. Collaborate with teams, share best practices, and provide guidance and support on Generative AI technologies.
An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career! JOB DETAILS: Location: Shanghai Onsite/Hybrid: This role requires the student to work full time (40 hours a week), either in a hybrid or onsite work structure throughout the duration of the co-op/intern term. Duration: January 1, 2026 - June 30, 2026 WHAT YOU WILL BE DOING: We are seeking highly motivated AI/ML Engineering Intern to join our AMD Research team. In this role: You will develop machine learning models to optimize GPU power/performance tradeoffs using real-world silicon data. We will train you to deploy models via MLOps pipelines for AMD’s internal tools. Your responsibility will include analyzing hardware telemetry data (power, thermal, clocks) to identify efficiency bottlenecks. You will collaborate with hardware engineers to validate models on next-gen AMD GPUs. Learning Outcomes: Master GPU-accelerated ML workflows. Gain hands-on experience with industrial-scale MLOps.