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Required Power and Signal Integrity Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of 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.
As a Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives.
You'll set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all services (Search, YouTube, etc.) and Cloud.
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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities:
Design and optimize power distribution networks (PDN) across chip, package, and board levels. This includes managing power/ground planes, decoupling capacitors, and power gating strategies.
Conduct both pre-layout and post-layout power integrity simulations to analyze power and ground noise (SSN/SSO), voltage drops (IR drop), and electromagnetic interference (EMI).
Implement and verify low-power design methodologies, such as multi-voltage designs and clock gating, using power intent formats like UPF/CPF.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR), Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.

We are looking for an experienced, driven, and tech-savvy Senior Project Manager to lead complex, multi-disciplinary hybrid cloud initiatives within our Expert Services Group. In this role, you will be the driving force behind end-to-end cloud transformation projects-managing client relationships, coordinating elite engineering squads, keeping budgets and timelines on track, and ensuring the highest technical and operational standards.
If you thrive in a fast-paced ecosystem, have a strong technical foundation in cloud infrastructure (Cloud and on-premise environments), and excel at steering high-impact professional services projects, this is your next challenge.
Key Responsibilities
End-to-End Project Lifecycle Management: Own the delivery of complex hybrid cloud projects-from kickoff and discovery through architecture design, migration execution, and final handover.
Client & Partners Engagement and Stakeholder Management: Serve as the primary trusted advisor and point of contact for enterprise clients and partners, managing expectations, communicating progress, and mitigating risks.
Resource & Capacity Planning: Coordinate cross-functional squads of Cloud Architects, DevOps Engineers, and System Specialists, ensuring optimal allocation and utilization.
Financial & Scope Oversight: Manage project budgets, tracking billable utilization, statements of work (SOWs), change management requests, and profitability margins.
Technical Synchronization: Bridge the gap between business stakeholders and deep-tech engineering teams, facilitating technical reviews, bottleneck resolution, and architectural alignment.

Required Senior Edge-AI SoC Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.
The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and Universal Verification Methodology (UVM), or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Required Senior CPU Core Architect
Job Description
The CPU Architect will take charge in defining a processor core that meets the requirement of high performance, high bandwidth, and scalable processing architecture. This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

Required Compilation Technology Expert
Job Description
We are forming a new team to explore AI Compilation Boundaries
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.

We are looking for a Senior AI Modeling Architect to define and model the architecture of our next-generation AI processors. In this role, you will serve as a key technical authority - bringing not only strong modeling capabilities, but also the architectural vision to propose and drive end-to-end solutions to complex design challenges.
You will work at high levels of abstraction, partnering closely with HW and SW architects to co-invent optimal solutions, validate them through simulation, and influence design decisions based on experimental data.
Responsibilities:
Model CPU/AI processor functionality and performance using SystemC and pre-silicon simulation environments
Define and drive architectural solutions - not only identify problems, but come with concrete proposals and alternatives
Partner with lead HW and SW architects to co-design features and evaluate trade-offs across the stack
Analyze bottlenecks and performance on workloads reflecting future AI use cases Provide proof-of-concept implementations for new architectural features and design alternatives
Potentially lead feature definition in addition to the modeling role