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Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 4 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science. Experience with a scripting language like Perl or Python. Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT. Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture. Knowledge of memory compression, fabric, coherence, cache, or DRAM. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be a part of the team which designs the SoC and Subsystem. You will be working through all phases of design and implementation. You will be working with architects to come up with microarchitecture specifications. You will use your logic design skills to convert the micro-arch into System Verilog code. You will be involved in Power, Performance and Area (PPA) experiments/prototyping experiments early on to optimize PPA. You will also work closely with the verification team to verify the features implemented in design. You will also work with the Physical Design (PD) team to take the design through the PD cycle and eventual tape-out.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.). Perform RTL coding, function/performance simulation debug, and Lint/CDC/FV/UPF checks. Participate in test plan and coverage analysis of the block and ASIC-level verification. Communicate and work with multi-disciplined and multi-site teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 4 years of experience in ASIC development with Verilog, SystemVerilog, Very High Speed Integrated Circuit (VHSIC), Hardware Description Language, or Chisel. Experience with micro-architecture and designing IPs and subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and design for testing. Preferred qualifications: Experience with coding languages (e.g., Python or Perl). Experience in System on a Chip (SoC) designs and integration flows. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be part of a team developing Application-specific integrated circuit (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design to specify and deliver quality designs for next generation data center accelerators. You will solve technical problems with micro-architecture and practical reasoning solutions, and evaluate design options with complexity, performance, and power.The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Own microarchitecture and implementation of Internet Protocol (IP) and subsystems. Work with Architecture, Firmware, and Software teams to drive feature closure and develop micro-architecture specifications. Drive design methodology, libraries, debug, code review in coordination with other IP Design Verification (DV) teams and physical design teams. Identify and drive power, performance and area of improvements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience in ASIC development with Verilog/SystemVerilog, Very High Speed Integrated Circuit (VHSIC), Hardware Description Language (VHDL), or Chisel. Experience with micro-architecture and designing IPs and subsystems. Experience in one coding/scripting language (e.g., Python, Perl). Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science. Experience in System on a Chip (SoC) designs and integration flows. Experience in AI/ML. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be part of a team developing Application-Specific Integrated Circuit (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, and physical design to specify and deliver quality designs for next-generation data center accelerators. You will solve technical problems with micro-architecture and practical reasoning solutions, and evaluate design options with complexity, performance, power.The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Drive design methodology, libraries, debug, code review in co-ordination with other IP Design Verification (DV) teams and Physical Design teams. Identify and drive power, performance and area of improvements. Participate in design, implementation and integration of chassis and subsystems. Perform RTL coding for Subsystems/SoC integration, function/performance simulation debug, Lint/CDC/FV/UPF checks. Perform quality check flows like Lint, CDC, RDC, VCLP. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. 8 years of experience with multiple IPs/SoCs with silicon success. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science. Experience with a scripting language like Perl or Python. Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT. Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture. Knowledge of memory compression, fabric, coherence, cache, or DRAM. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.). Perform RTL coding, function/performance simulation debug, and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and ASIC-level verification. Communicate and work with multi-disciplined and multi-site teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/SystemVerilog. Experience in micro-architecture and design of IPs and Subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of high performance and low power design techniques. Knowledge of bus architectures, fabrics/NoC, processor design, accelerators, or memory hierarchies. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will join a team developing Application-Specific Integrated Circuits (ASICs) to accelerate Machine Learning (ML) computation in data centers. You will collaborate with Architecture, Verification, Power and Performance, and Physical Design teams to specify and deliver quality designs for next-generation accelerators. You will solve technical problems through micro-architecture innovation and evaluate design trade-offs between performance and power.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Own micro-architecture and implementation of complex subsystems. Work with Architecture, Firmware and Software teams to drive feature closure and develop microarchitecture specifications.  Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive Power, Performance and Area improvements for the domains owned. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience in Silicon engineering post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal physical design convergence-timing, floor planning, power grid and clock tree design, etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in ASIC development with Verilog/SystemVerilog, Vhsic Hardware Description Language (VHDL). Experience in micro-architecture and design IPs and subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Experience with scripting languages (e.g., Python or Perl). Experience in SoC designs and integration flows. Knowledge of bus architectures, fabrics/NoC, processor design, accelerators, or memory hierarchies.. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASIC) used to accelerate and improve traffic efficiency in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Drive development of complex IPs and subsystems along with a team of engineers. Own micro-architecture and implementation of IPs and subsystems. Work with architecture, firmware and software teams to drive feature closure and develop micro-architecture specifications. Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive power, performance and area improvements for the domains owned. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/SystemVerilog. Experience in micro-architecture and design of IPs and Subsystems. Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Preferred qualifications: Experience with programming languages (e.g., Python, C/C++ or Perl). Experience in SoC designs and integration flows. Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies. Knowledge of high performance and low power design techniques. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Own microarchitecture and implementation of complex IPs and subsystems. Take ownership of RTL implementation and quality checks of one or more modules. Contribute to design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams. Identify and drive Power, Performance and Area (PPA) improvements for the modules owned. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. The Role:We are seeking a high-caliber FPGA Design Engineer to develop our next-generation IO-based connectivity systems. drive the design from initial concept through to hardware validation.Key Responsibilities: - System Architecture Implementation: Lead the design, documentation, and implementation of complex IO-based connectivity systems, ensuring high-speed data integrity and system reliability. - Front-End Methodology Leadership: Drive advanced RTL design flows, including resource optimization (Area/Power), multi-clock domain crossing (CDC) analysis, and reset domain crossing (RDC) strategies. - Technical Documentation Lifecycle Management: Synthesize comprehensive Requirement Specifications, Design Specs, and Test Plans. You will ensure these documents account for complex interactions between hardware, firmware, and software drivers. - Cross-Functional Collaboration: Partner closely with Architects, Hardware Engineers, and Firmware teams to define feature sets, negotiate interfaces, and ensure seamless system integration.Required Technical Qualifications: - Xilinx Expertise: Minimum of 6 years of hands-on experience in RTL design with a deep-seated understanding of AMD-Xilinx UltraScale+ FPGA architectures. - Toolchain Proficiency: Expert-level command of the Vivado Design Suite (Synthesis, Implementation, and Timing Closure). - System-Level Architecture: Proven track record with high-speed bus protocols (AXI4/AXI-Stream), memory controllers, and interconnect bridges. - High-Speed Connectivity: Direct experience implementing and debugging one or more high-speed protocols: PCIe (Gen3/4/5), 10/25/100G Ethernet, TCP/IP offload engines, or USB 3.x. - Verification Debug: Proficient in RTL simulation (Xcelium, Questa, or Vivado Simulator) and hardware-in-the-loop debugging using Xilinx ChipScope/ILA.Professional Attributes: - Ownership: A self-starting mindset with the ability to navigate ambiguity and independently drive tasks to production-ready completion. - Problem-Solving: Exceptional analytical skills for triaging complex system-level hardware/software bugs. - Communication: Ability to articulate technical trade-offs to both technical and non-technical stakeholders.Academic Credentials: - Bachelor’s or Master’s degree in electrical/computer engineering or related field preferred.Location:Taipei Taiwan#LI-VJ1 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.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. The Role:We are seeking a high-caliber FPGA Design Engineer to develop our next-generation IO-based connectivity systems. drive the design from initial concept through to hardware validation.Key Responsibilities: - System Architecture Implementation: Lead the design, documentation, and implementation of complex IO-based connectivity systems, ensuring high-speed data integrity and system reliability. - Front-End Methodology Leadership: Drive advanced RTL design flows, including resource optimization (Area/Power), multi-clock domain crossing (CDC) analysis, and reset domain crossing (RDC) strategies. - Technical Documentation Lifecycle Management: Synthesize comprehensive Requirement Specifications, Design Specs, and Test Plans. You will ensure these documents account for complex interactions between hardware, firmware, and software drivers. - Cross-Functional Collaboration: Partner closely with Architects, Hardware Engineers, and Firmware teams to define feature sets, negotiate interfaces, and ensure seamless system integration.Required Technical Qualifications: - Xilinx Expertise: Minimum of 6 years of hands-on experience in RTL design with a deep-seated understanding of AMD-Xilinx UltraScale+ FPGA architectures. - Toolchain Proficiency: Expert-level command of the Vivado Design Suite (Synthesis, Implementation, and Timing Closure). - System-Level Architecture: Proven track record with high-speed bus protocols (AXI4/AXI-Stream), memory controllers, and interconnect bridges. - High-Speed Connectivity: Direct experience implementing and debugging one or more high-speed protocols: PCIe (Gen3/4/5), 10/25/100G Ethernet, TCP/IP offload engines, or USB 3.x. - Verification Debug: Proficient in RTL simulation (Xcelium, Questa, or Vivado Simulator) and hardware-in-the-loop debugging using Xilinx ChipScope/ILA.Professional Attributes: - Ownership: A self-starting mindset with the ability to navigate ambiguity and independently drive tasks to production-ready completion. - Problem-Solving: Exceptional analytical skills for triaging complex system-level hardware/software bugs. - Communication: Ability to articulate technical trade-offs to both technical and non-technical stakeholders.Academic Credentials: - Bachelor’s or Master’s degree in electrical/computer engineering or related field preferred.Location:Taipei Taiwan#LI-VJ1 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.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.