GPU AI Kernel开发实习生 (Jul - Dec 2025)
AMD
On-site 🏢 New 🔥🔥
R&D, Innovation
Beijing, China 🇨🇳
Qualifications
Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Responsibilities
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 Duration: Jul - Dec 2025 (at least 3 days/week attendance) WHAT YOU WILL BE DOING: 1. Work as G&E CSE SW team member to deploy/enable/optimize AI solutions on ROCm stack on GFX SW stack on latest Radeon GPU. 作为G&E CSE SW team的成员，在最新一代的AMD GPU上部署、开发、优化ROCm软件栈上的AI解决方案。 2.Build up engineering AI solutions to improve issue analysis, test case generation and issue reproduction. 构建AI解决方案，加速工程阶段遇到的问题复现，问题分析及测试用例生成。 3.Create and optimize Stable, reusable HIP/CUDA code 编写及优化健壮可复用的 HIP/CUDA 代码。 4.Support GPU development engineer on issue debugging and improvement related AI algorithms, accuracy, and performance. 协助 GPU 软件开发工程师调试模型在 GPU 上的算法，精度和性能问题，以及性能调优。 WHO WE ARE LOOKING FOR: 1. Major in computer science, computer engineering, data science/analytics, machine learning, computer graphics, computer vision, statistics, and mathematics or a related field. 计算机科学/计算机工程/数据科学/数据分析/机器学习/计算机图形学/计算机视觉/统计/数学或相关专业。 2. Strong programming skill in Python, C/C++ with real project experience. 优秀的 C++, C, CUDA 和 Python 语言的基础，有相关项目更佳。 3. Deep learning/AI frameworks (like PyTorch, Tensorflow), machine learning algorithms (like Transformer, DiT, VAE), kernel programming (like ROCm/CUDA/Triton), and LLM/SD GPU deployments 掌握AI相关知识，深度学习/AI框架(如PyTorch，Tensorflow)，算法(如Transformer，DiT， VAE)，kernel编程(如ROCm/CUDA/Triton), 以及LLM/SD模型GPU上部署。 4. Strong knowledge of GPU high concurrency development, real project experience is a plus 深刻理解 GPU 高并发编程原理，有相关项目实践更佳。 5. Cross communicate with other sites engineering team. 具备与国外团队良好沟通的能力。 5. Real project experience in application, middle-ware, user mode/kernel mode driver or OS kernel on Windows/Linux. 具有在Windows/Linux下实际项目经验如应用程序、中间件、用户态/内核态驱动程序，操作系统内核等 #LI-HYBRIDSimilar jobs
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