We are looking for exceptional talent to join our team as a Hardware Engineer.
Your Day to Day:
Lead end-to-end hardware development, from architecture and design to testing and production
Design and develop complex electronic systems, including schematics, PCB layout guidance, and component selection
Drive system integration, bring-up, debugging, and validation processes
Collaborate with firmware, software, mechanical, and product teams to ensure seamless system performance
Identify technical risks and propose effective mitigation strategies
Support manufacturing, including design for manufacturability (DFM) and design for testability (DFT)
Analyze and improve system performance, reliability, and cost
Mentor junior engineers and contribute to team knowledge sharing

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.

The Networking Application Engineering team is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across םור R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers.

What You'll Be Doing:

Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs.

Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences.

Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly - reducing time-to-resolution and maintaining platform quality.

Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations.

Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification.

Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions.

Required Hardware/Silicon Engineering PhD Intern, 2027
Please complete your application before 23rd October 2026.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The teams work is grounded in creating custom hardware, and as an Intern you'll get to collaborate with engineers from various parts of the organisation to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from Cloud, to our most advanced models like Gemini.
As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact our custom silicon portfolio, including general-purpose CPUs, highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. This may include:
Algorithmic Innovation: Developing and analyzing new algorithms that are deeply co-designed with our custom hardware.
Software and Compilers: Building the software stack, compilers, and performance analysis tools that unlock the potential of our unique architectures.
System Architectureand and Modeling: Architecting and modeling future CPUs, TPUs, and SoCs to guide critical design decisions.
Hardware Design and Verification: Contributing to all aspects of silicon creation, from logic design and verification to VLSI physical implementation.
Responsibilities
Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

Required Edge-AI Verification Lead, 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 to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
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
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with Architecture, Software, Design, and Physical Design stakeholders to make technical decisions and represent project status throughout the development process.

Required Hardware/Electrical Engineering BS/MS Intern, 2027
Please complete your application before November 13, 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The team's work is grounded in creating custom hardware, and as an Intern, you'll get to collaborate with engineers from various parts of the organization to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything, from Cloud to our most advanced models like Gemini.
As an Electrical Engineering Intern in the domain of Very Large-Scale Integration (VLSI), you will work on designing, developing and verifying next generation chips for our Cloud Compute Infrastructure. You will have the opportunity to collaborate with engineers from various parts of the organisation to help develop our next generation systems on chip (SOC).
Responsibilities:
Responsibilities and detailed projects will be determined based on your educational background, interest and skills.

We are looking for a highly experienced Architecture Prototyping Engineer to join our R&D team and turn early-stage architectural concepts into working proof by creating or modifying any or many layers in a system (HW to Cloud).
You'll run bring-up on boards, set up lab benches, write FPGA RTL or embedded code, run simulations, and script measurement setups to take measurements and benchmarks.
You'll work across every electronics discipline, alongside algo, architects, logic designers, RF engineers, embedded developers, and physicists.
What You'll Do:
Build, bring up, and debug hardware prototype boards across analog, RF, power, digital, and mixed-signal domains.
Implement algorithms, write and simulate RTL, or embedded/Linux code
Lab measurements and benchmarks (scope, spectrum analyzer, network analyzer, power analysis)
Work directly with product and system architects to translate an early concept into a concrete, testable prototype.
Document findings.

Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

Required Edge-AI SOC Verification Lead, 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 to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
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
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with architecture, software, design, and physical design stakeholders to make technical decisions and represent project status throughout the development process.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.
In this role, you will be responsible for qualifying hardware components such as servers, JBOFs, SSDs, network cards, switches, and optical transceivers. You will write requirement documents for new features, work with vendors on implementation and debugging, and transfer knowledge to internal teams, including software developers, QA, support, and manufacturing. Additionally, you will become the subject matter expert for specific hardware platforms and technologies. Join us and contribute to shaping the future of data management while being part of a fast-growing, innovative company.