Networking RTL Design Engineer

2 Months ago • 8 Years + • Network Engineering

Job Summary

Job Description

This role involves developing Application-Specific Integrated Circuits (ASICs) to accelerate data center networking. Responsibilities include designing, architecting, documenting, and implementing next-generation data center accelerators. Performance analysis of end-to-end networking stacks using RDMA-based transports is crucial. You'll participate in evaluating future ASIC designs and architectures, collaborating on new layer protocols, and defining performance hardware/software interfaces. The work involves micro-architecture and design specifications, efficient micro-architecture and block partitioning, and understanding how everything interacts with software and other ASIC subsystems. The goal is to implement groundbreaking data center networks.

Must have:

8+ years ASIC networking architecture experience
RTL design for ASIC subsystems
RDMA/packet processing expertise
Cross-functional collaboration (design, verification, synthesis)
Performance analysis (end-to-end networking stack)

Good to have:

TCP/IP/Ethernet/PCIe/DRAM experience
NoC principles and protocols
Hardware/software interface optimization
Experience with networking switches/endpoints/hardware offloads
C++, Python, or Go programming experience
Performance testing and simulation skills

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

cross-functional

performance-analysis

cpp

networking

python

system-design

machine-learning

Job Details

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.

About the job

Be part of a diverse 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 (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 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

Participate in evaluation of future ASIC designs and general architecture for executing Google’s 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