About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 (ASIC) used to accelerate networking in data centers. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. You will be responsible for performance analysis for an end to end networking stack using deep knowledge of RDMA based transports.
The ML, Systems & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Participate in evaluation of future ASIC designs and general architecture for executing our companys data center networking roadmap, off-the-shelf components, vendor co-developments, custom designs, and chiplets.
Collaborate in developing new layer protocols for data center networking.
Understand how everything interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define performance hardware/software interfaces. Write micro-architecture and design specifications
Define efficient micro-architecture and block partitioning/interfaces and flows.
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 (ASIC) used to accelerate networking in data centers. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. You will be responsible for performance analysis for an end to end networking stack using deep knowledge of RDMA based transports.
The ML, Systems & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Participate in evaluation of future ASIC designs and general architecture for executing our companys data center networking roadmap, off-the-shelf components, vendor co-developments, custom designs, and chiplets.
Collaborate in developing new layer protocols for data center networking.
Understand how everything interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define performance hardware/software interfaces. Write micro-architecture and design specifications
Define efficient micro-architecture and block partitioning/interfaces and flows.
Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience architecting networking ASICs from specification to production.
Experience working with design networking such as RDMA or packet processing and system design principles for low latency, high throughput, security, and reliability.
Experience developing RTL for ASIC subsystems.
Experience in Cross-functional, micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications:
Experience in Transmission Control Protocol (TCP), IP, Ethernet, PCIE and Dynamic random-access memory (DRAM), Network on Chip (NoC) principles and protocols.
Experience working with software teams optimizing the hardware/software interface.
Experience architecting networking switches, end points, and hardware offloads.
Experience in a procedural programming language (e.g., C++, Python, Go).
Experience in estimating performance by analysis, modeling, and network simulation. Skilled in defining and driving performance test plans.
Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience architecting networking ASICs from specification to production.
Experience working with design networking such as RDMA or packet processing and system design principles for low latency, high throughput, security, and reliability.
Experience developing RTL for ASIC subsystems.
Experience in Cross-functional, micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications:
Experience in Transmission Control Protocol (TCP), IP, Ethernet, PCIE and Dynamic random-access memory (DRAM), Network on Chip (NoC) principles and protocols.
Experience working with software teams optimizing the hardware/software interface.
Experience architecting networking switches, end points, and hardware offloads.
Experience in a procedural programming language (e.g., C++, Python, Go).
Experience in estimating performance by analysis, modeling, and network simulation. Skilled in defining and driving performance test plans.
Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.
This position is open to all candidates.
