英伟达Senior Computer Vision and Deep Learning Hardware Architect

• Work on delivering most efficient software on PVA for Autonomous Driving solutions • Analyze, prototype and optimize key applications for both existing and new architectures for PVA • Build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features • Be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption • Collaborate with different teams to improve the PVA architecture to extend the state of the art in performance, efficiency, reliability and programmability

岗位职责: 深度融入公司 AIGC 项目团队，聚焦于多模态内容理解、视频智能混剪等前沿算法的研发与持续优化工作，通过创新技术为产品赋能，推动项目高效落地。 任职资格： 1.本科及以上学历，计算机相关专业，5年以上工作经验，具备完整算法项目研发及落地经验者 2. 掌握Transformer、Dit、Diffusion、CNN等深度神经网络模型原理，并有实际项目应用经验，对机器学习、图像与视频处理算法有深入理解； 3.熟练掌握pytorch或tensorflow深度学习框架，优秀的算法实现能力，熟悉算法性能调优技巧，能独立承担复杂算法模块的开发与优化工作； 4.有视频内容理解、视频生成、文生图、多模态模型等相关项目研发经验者优先； 5.较强的分析问题和解决问题的能力，能熟练阅读并理解领域内英文技术文章或论文； 6.良好的沟通协作精神，能与团队成员、跨部门同事高效配合，共同攻克技术难题； 7.  在计算机视觉领域顶级会议发表论文者优先考虑。 Job Title: Senior Computer Vision Engineer (Video Intelligent Editing) Responsibilities: Deeply integrate into the company’s AIGC project team, focusing on the R&D and continuous optimization of cutting-edge algorithms such as multimodal content understanding and intelligent video editing. Leverage innovative technologies to empower products and drive efficient project delivery.

Responsibilities • Define and uphold the game’s design vision, core gameplay direction, and player experience goals from concept through development • Review and guide major design decisions, ensuring features align with player needs, product goals, and Riot’s quality expectations • Translate player insight, product context, and development realities into clear design direction and actionable priorities • Partner closely with internal developers and external co-development teams to align on design intent, execution quality, and iteration plans • Evaluate trade-offs, identify risks, and make agile decisions that help the team respond to feedback, data, and changing development needs • Lead and support a small design team by setting clear expectations, giving feedback, and fostering a collaborative, craft-focused environment

- Execute a regional recruitment strategy by mapping Fujian's industrial clusters, analyzing the competitive landscape, and defining differentiated value propositions for diverse seller types. - Identify, engage, and onboard sellers across a wide spectrum — new-to-export manufacturers, DTC/social-commerce brands expanding channels, established traders, etc. - Build and document seller engagement methodologies: synthesize learnings from the field into frameworks and playbooks - Tell compelling stories — internally and externally — about seller journeys, regional insights, and what works, contributing to organizational knowledge and cross-team collaboration. - Monitor seller performance post-launch and work with account managers to summarize learnings on Seller success recipes. Basic Qualifications: - 5 years experience in business development, sales, consulting, or a related client-facing role. - Bachelor's degree from a reputable university. - Strong written and verbal communication skills in both English and Chinese. - Demonstrated ability to operate independently in a fast-moving, sometimes ambiguous environment. - Intellectual curiosity and a habit of turning observations into structured insights — you naturally ask "why does this work?" and write it down. - Passion for understanding diverse business models and customer needs. Preferred Qualifications: - Experience planning, designing, and delivering large-scale events (e.g., seller summits, industry roundtables, regional conferences). - Background in e-commerce, cross-border trade, or B2B/B2C marketplace ecosystems. - Familiarity with Fujian's manufacturing and trade landscape. - Experience working with SMEs or manufacturers new to digital commerce. - Strong quantitative and analytical skills (including AI tools for data analysis) — ability to use data to identify opportunities and measure impact.