滴滴AI-Hardware & Vehicle-测试开发实习生

• Work closely with Hardware Engineering teams and Software Development teams to optimize AI deployment on device • Assist in hardware-software co-optimization for consumer electronics applications, including architecture design and system integration • Participate in electronic and electrical design, troubleshooting, and component testing for AI hardware accelerators • Implement and optimize software algorithms for AI/ML model deployment on embedded systems • Explore optimization methods including pruning, quantization, architecture optimization, and hardware-software co-optimization • Support hardware design readiness for engineering builds and participate in hardware development reviews • Assist in the organization of technical documentation throughout the development cycle • Work closely with suppliers and manufacturing teams as needed • Travel domestically and internationally to supplier sites as needed to keep projects on schedule

【The Role】 This role sits at the intersection of frontier AI technology, product execution, and industry influence. You will help shape Xiaohongshu (rednote)'s AI strategy and technical direction, working closely with leadership, model and product teams, and the global AI ecosystem. This is not a passive research or planning role. You will turn frontier insights into real product, organizational, and strategic impact. 【What You’ll Do】 Track frontier AI shifts - Scout advances across foundation models, training and inference efficiency, multimodality, AI hardware, and AI-native applications - Identify inflection points that matter for consumer products and long-term competitive advantage Shape AI strategy with leadership - Produce deep research, strategic memos, and POV frameworks that inform executive decisions - Partner with product, engineering, and business leaders on AI roadmaps, investment priorities, and capability build-outs Work hands-on with teams - Collaborate with model, chatbot, and application teams to translate new capabilities into real use cases - Act as a strategic integrator on high-impact AI initiatives, from research to deployment Build ecosystem and brand - Develop relationships with leading AI labs, researchers, founders, investors, and open-source communities - Represent RedNote in high-signal industry conversations and strengthen our global technical brand 【职位概述】 结合前沿 AI 技术、产品落地与行业影响力，支持制定并推动 AI 战略与技术方向，与公司管理层、模型与产品团队紧密合作，并深度连接全球 AI 生态。 不是偏“研究/规划”的后台岗位，而是需要将前沿洞察转化为真实的产品、组织与战略影响，推动结果落地。 1. 跟踪前沿 AI 变化：持续跟进基础模型、训练与推理效率、多模态、AI 硬件、AI 原生应用等领域的最新进展；识别对消费级产品与长期竞争优势具有关键意义的技术拐点与趋势 2. 与管理层共塑 AI 战略：输出深度研究、战略备忘录与观点框架（POV），支撑管理层关键决策；与产品、工程、业务负责人共建 AI 路线图，明确投入优先级与能力建设路径（capability build-out） 3. 团队协作推进落地：与模型、对话/chatbot及应用团队协作，将新能力转化为可落地的产品用例；作为关键 AI 项目的战略整合者，推动从研究到部署的全流程协同与交付 4. 建设生态与技术品牌：与领先 AI 实验室、研究者、创业者、投资人及开源社区建立并维护关系；参与高质量行业交流，提升公司的全球技术品牌与行业影响力

We are seeking a highly skilled and innovative AI Chip Architect who will play a key role in the development of cutting-edge AI hardware. The ideal candidate is a visionary and a problem-solver, capable of designing complex chip architectures optimized for performance, efficiency, and scalability. In this role, you will work with software and hardware engineering groups to define state-of-the-art AI chip architecture for high-performance computing system in Data Center. Key Responsibilities: * Define the architecture for the next-generation AI chips, including high-performance computing system, hierarchically memory/cache system, and high-speed interconnects. * Collaborate with a cross-functional team of hardware engineers, software developers, and machine learning specialists to ensure designs meet the performance and power requirements of AI applications. * Propose and evaluate architectural innovations to improve throughput, latency, energy efficiency, and scalability of AI processing. * Produce thorough documentation to articulate design decisions and architectural trade-offs to stakeholders. * Participate in design reviews, providing critical feedback and insights to improve chip quality and performance. * Oversee and contribute to the entire lifecycle of the chip design process, from specification to production and post-production support. * Mentor junior engineers and contribute to a culture of technical excellence.

THE ROLE: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China. THE PERSON: Success in this role will require deep knowledge of Data Center, Client, Endpoint AI workloads such as LLM, Generative AI, Recommendation, and/or transformer … AI cross cloud, client, edge… the candidate needs to have hands-on experiences with various AI models, end-to-end pipeline, industry framework (pytrouch, vLLM, SGLang, llm-d,Triton) / SDKs and solutions. KEY RESPONSIBILITIES: Position technical proposals / enablement to (blogs, tutorials, user guide…) AI SW developers and/or top customers. Provide significant contribution to AI SW developers / communities and/or customer PoC success. Drive AI developers / communities / customer requirements for AI SW, solution roadmap planning. Analyze competitive solutions to identify strength and weaknesses for articulating AMD AI SW & solution value propositions. Provide inputs / feedback to AI SW / hardware silicon / board roadmap for AI cross cloud, client, and edge...