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Required Senior CAD Infra 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.
Responsibilities
Work with partner teams to provide the compute, storage, and methodology needs of the chip design, verification, and physical design teams. Collaborate with Application-Specific Integrated Circuit (ASIC) teams to implement tools and methodologies.
Design and implement CAD tools, solutions, and methodologies for ASIC development. Extend the capabilities of third-party tools through their dedicated APIs.
Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow. Lead and actively contribute to the automation and integration of physical design (floorplanning, power planning, synthesis, place and route, clock tree synthesis, timing closure, STA, DRC, LVS, DFM, etc.) in our automated flow.
Leverage your software expertise to develop the hardware automations required for physical design automation, and their software integration in our automated flow.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

Required Senior Edge-AI SoC Formal 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.
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.
Responsibilities
Pioneer and refine formal verification methodologies by systematically embedding AI tools to optimize verification accuracy.
Plan the formal verification strategy and create the properties and constraints for complex digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties and apply sign-off to blocks.
Architect and implement reusable formal verification components.

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.

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.

We're looking for a hands-on systems engineer to lead prototyping and low-volume assembly (tens to hundreds of units) - taking hardware from first builds to a repeatable process, designed with scale-up and BOM cost in mind.

Responsibilities
Lead prototype and pilot builds; turn lessons into a repeatable assembly process.
Plan assembly flows, fixtures/jigs, and the right (minimal) automation - engineering simplicity first.
Own the project plan (Gantt) and budget; design for scale-up with BOM cost awareness and DFM feedback to R&D.
Define test and inspection strategy, including environmental testing where needed.
Measure and improve yield and rework with data; work daily with R&D, production, and vendors on the floor.

Required Senior HW architect
About the group:
We are a highly experienced architecture group specializing in switch processing, with deep expertise in both hardware and software architecture in the high-speed networking domain.
Our innovative packet processors power some of the most advanced data centers in the world and are designed into tier-1 vendor platforms. With state-of-the-art technology, a strong track record of industry recognition, and multiple award-winning achievements, we continuously push the boundaries of performance and scalability.
Our group is involved across the entire development lifecycle - from early research and architectural definition to silicon production - working on both research initiatives and production-grade products.
What will you be doing?
Lead research, evaluation, and architectural definition of next-generation chips - from requirements through production.
Define next-generation Packet Processor / Datapath / Congestion Management architectures for high-performance, complex SoC Ethernet Switches.
Design the system architecture and detailed micro-architecture definition across major functional blocks.
Collaborate closely with design, verification, and modeling teams to ensure architectural intent is fully realized.
Work cross-functionally with other architecture teams to shape cohesive system solutions.
Explore and evaluate new technologies and innovative approaches for future products.

Required CPU Core Micro Architect
Job Description
Our goal is to design cutting-edge CPUs for smartphones, servers, and desktops, and we need the very best talent to help us achieve it!
The CPU Micro architect will take charge in defining a processor Micro architecture features that will improve the performance and reduce the power consumption of the CPU core. This architect will use a performance simulator to explore his ideas and will analyze implementability of these features: Power, Timing, Area. This architect will utilize his processor and VLSI design experience to develop many advanced features for Huawei processors.

Required Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design
In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures, aiming to overcome performance and scalability limits of traditional compute platforms.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system.

We are looking for a highly analytical, detail-oriented Innovation Expert to join our Open Innovation team. This role is ideal for candidates who sit at the intersection of deep tech, startup ecosystem and academy, possessing strong technology analytical skills, clear communication, and a foundational background in computer architecture research.
In this role, you will drive our external innovation strategy by managing academic research collaborations, scouting early-stage deep-tech startups and conducting technical due diligence.
Key Responsibilities:
Academic Cooperation & Research Partnerships: Identify and build direct collaboration agreements with world-class professors, research labs, and universities. Facilitate joint research projects, tech-transfer initiatives, and track academic spin-offs.
Startup Scouting & Ecosystem Mapping: Actively identify, source, and map early-stage deep-tech startups and emerging tech companies globally within the companys strategic domains.
Technical Due Diligence: Evaluate startup technologies, product-market fit, and team capabilities. Analyze technical validity and assess how external innovations align with our internal roadmaps.
Ecosystem Analysis: Conduct deep-dive analyses of startup ecosystems, venture capital trends, and academic spin-offs to identify high-potential investment and collaboration opportunities.
Investment & Collaboration Support: Synthesize technical and commercial findings into clear, structured scouting reports, investment tech memos, and presentations for senior leadership to drive partnership or investment decisions.
Cross-Border Collaboration: Act as a bridge between startup founders, academic innovators, and internal global teams (including European and China-based business units) to facilitate joint POCs, or investment reviews.
Track Tech Domains: AI infrastructure, advanced semiconductors, hardware-software co-design, and AI data movement.