SAPSAP China iXp Intern - AI Developer Intern - Shanghai

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.

As an AMD [intern/co-op], you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. JOB DETAILS: Location: Shanghai Onsite/Hybrid: This role requires the student to work onsite at least 3 days/week Duration: Jan - Jun 2026 WHAT YOU WILL BE DOING: • Positions (Either of the areas below) • Validation • Power & Performance • Debug • Platform Design • Key Responsiblity • Working on X86 motherboard or graphic card hardware design. Driving both platform related dependencies and deliverables. • To verify and validate hardware products designed and developed in house at AMD(ATI) using the standard qualification process developed within the hardware qualification group and participates in creating/improving all phases of test procedures and methodologies. • Work closely with internal data producing team and external automation framework team to develop engineering experience-based power and performance data analytic process and visualization structure. • Work closely with SOC design team & program lead team to understand performance target and validation methodology for APU/GPU Component and overall reference design System • Develop system and component level performance test strategies and plans. • Compose validation reports and provide future test plan improvement. • Ensure the failures found in testing is real issue and support the internal design team to find the root cause of the issues; • Executing and/or automating the tests with the instruction of team lead and able to independently work. • Communicate with various internal departments to resolve anomalies • Participate in issuing internal/external releasable test reports. • 实习方向（以下任一领域） • 验证 • 功耗与性能 • 调试 • 平台设计 • 主要责任 • 通过标准的资格认证流程，对在AMD（ATI）内部设计和开发的硬件产品进行验证和确认，并参与创建/改进所有测试程序和方法的各个阶段。 • 与内部数据生成团队和外部自动化框架团队紧密合作，开发基于工程经验的功耗和性能数据分析流程及可视化结构。 • 与系统级芯片（SOC）设计团队及项目领导团队紧密合作，理解APU/GPU组件的性能目标和验证方法。 • 制定系统和组件级性能测试策略和计划。 • 撰写验证报告并提供未来测试计划的改进建议。 • 确保测试中发现的故障是真实的问题，并支持内部设计团队找到问题的根本原因； • 在团队领导的指导下执行和/或自动化测试，并能够独立工作。 • 与各种内部部门沟通以解决异常问题。 • 参与发布内部/外部可发布的测试报告。

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.