Scale-up交换机架构师 北京、上海、杭州、中国香港 全职 互联网 / 电子 / 网游 - 研发 职位描述 1、关注UALink、NVLink及高速Scale-up互联技术,理解AI训练、推理和集合通信对低时延、高带宽、确定性、扩展性和高可靠的系统需求;2、定义交换芯片端到端数据通路,包括端口与链路层、Ingress/Egress、路由、仲裁、缓存、Crossbar、VC/Credit、Ordering、Replay、QoS及多播/集合通信机制;3、建立面向真实AI通信模式的性能和流量模型,量化吞吐、时延、缓存、拥塞、扩展规模及PPA约束,指导关键微架构取舍;4、驱动架构规格和验证方案落地,协同ASIC、验证、固件、软件、软件、SerDes/PHY及系统团队完成前后仿真、芯片Bring-up和整机性能调优。 职位要求 1、交换与Fabric微架构能力:深入理解Packet/Flit/Transaction处理,能够定义端口、Ingress/Egress、路由、仲裁、共享/分布式缓存、Crossbar、调度、Traffic Management、QoS及多播数据通路;2、协议、流控与可靠性能力:掌握Credit/Backpressure、Virtual Channel、Ordering、Retry/Replay、CRC/FEC.错误隔离、死锁/活锁规避及拥塞控制,理解链路训练和SerDes/PHY接口边界;3、系统性能与芯片交付能力:能够基于AI流量进行延迟、带宽、缓存、拥塞和扩展性建模,完成时序、面积、功耗权衡;具备架构验证、Telemetry/RAS、安全隔离以及前后硅性能能调试能力。关键经历1、学历背景:微电子、电子工程、计算机、通信等相关专业,具备计算机体系结构、数字电路和网络互联基础;2、岗位经历:具备8年以上交换ASIC、NoC、GPU/CPU互联或高性能Fabric研发经历,承担过整芯片或路由、仲裁、缓存、Crossbar、流控等关键模块架构工作;3、成功经验:主导或核心参与过至少一款大型交换或互联芯片从架构、性能模型、设计验证到流片、Bring-up的完整闭环:且备UAI ink NVI infiniBand或Fthernet交换经验优先 投递...
Scale-up交换机专家 北京、上海、杭州、中国香港 全职 互联网 / 电子 / 网游 - 研发 职位描述 1、在总体架构和芯片规格指导下,负责Scale-up交换芯片关键子系统或模块的微架构设计与研发交付,包括Ingress/Egress、Packet/Flit处理、路由、仲裁、缓存、Crossbar、VC/Credit及端口数据通路等;2、负责Ordering、Retry/Replay、CRC/FEC、QoS、多播或集合通信信等协议与可靠性功能的设计实现,完成异常场景、流控依赖和死锁/活锁问题分析;3、开展模块级性能与流量分析,评估吞吐、时延、缓存占用、拥塞及PPA约束,针对All-to-All、Incast和集合通信等典型AI流量进行优化;4、协同验证、固件、软件、SerDes/PHY及系统团队,完成模块验证王、子系统集成、芯片Bring-up和整机环境下的性能与可靠性问题定位。 职位要求 1、交换数据通路研发能力:熟悉Packet/Flit处理、Ingress/Egress、路由、仲裁、缓存、Crossbar和调度机制,能够独立承担一个或多个关键模块的微架构设计、实现与验证;2、协议、流控与可靠性能力:理解Credit/Backpressure、Virtual Channel、Ordering、Retry/Replay、CRC/FECT拥塞控制机制,能够分析流控依赖、死锁和异常恢复问题;3、ASIC实现与性能调试能力:具备RTL设计、架构验证或性能建模能力,能够完成模块级时序、面积和功耗优化;熟悉Telemetry/RAS、链路调试或前后硅性能分析中的一种或多种能力。关键经历1、学历背景:微电子、电子工程、计算机、通信等相关专业,具备计算机体系结构、数字电路和网络互联基础2、岗位经历:具备5年以上交换ASIC、NoC、GPU/CPU互联或高性能Fabric研发经历,独立承担过路由、仲裁、缓存、Crossbar、流控或链路数据通路中的一个或多个关键模块决;3、成功经验:参与过至少一款交换或互联芯片从规格、设计验证到流片、Bring-up的研发过程,并完成过所负责模块的功能、性能或可靠性问题闭环;具备UALink、NVLink、InfiniBand或Ethernet相关经验优先 投递...
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公司描述 WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where
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