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Required ASIC Design Verification Engineer, Digital Signal Processing
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will define and execute the verification strategy for high-speed Physical Layer (PHY) digital blocks. This role focuses on the functional and mathematical verification of complex DSP algorithms, digital-analog boundaries, and signal processing logic. This position requires a strong technical foundation in communication theory, fixed-point arithmetic, and mixed-signal co-simulation.
Responsibilities
Verify RTL implementations against high-level architectural reference models (MATLAB, C++, or SystemC) using bit-exact and fixed-point verification methodologies.
Verify the stability, tracking capability, and convergence of adaptive equalization loops (FFE, DFE) and timing recovery systems under varying channel impairments.
Model and verify the functional interface between Digital DSP blocks and the Analog Front End (AFE) using Real Number Modeling (RNM) or SystemVerilog-AMS.
Design, implement, and maintain scalable UVM-based simulation environments, SystemVerilog Assertions (SVA), and functional coverage metrics for digital signal processing blocks.

Required Software Engineer III, Filestore
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Be responsible for developing many new customer facing features critical for meeting product business roadmap, as well as enhancing existing infrastructures for better reliability and new requirements.
Work with peers from other aspects of the product development lifecycle, including all filesystem engineering teams, program management, CP, DP, SRE, UX/UI.
Participate in the development of new features, infrastructure, and performance improvements in a complex distributed and performance sensitive system.
Help grow and mentor the team, be a part of a well-experienced group and impact the critical architecture and design decisions.
Work with product and customers, to best fit future requirements.

We are hiring an Applied Data Scientist to build the models that turn raw transaction data into the insights our banks customers see every day.
The stack is deliberately wide: classical ML on tabular data, deep learning, LLM-based systems, and agentic flows. We choose the right approach for each problem, balancing analytical quality, production readiness, and time to market. You drive the analytical work, working closely with Product and Engineering to take ideas from evidence through production.
Responsibilities:
Analyze and interpret complex datasets to identify trends and patterns.
Collaborate with cross-functional teams to develop data-driven solutions.
Build and maintain predictive models to enhance business decisions.
Communicate findings and insights effectively to stakeholders.
Stay updated with the latest data science technologies and methodologies.
Contribute to the continuous improvement of data processes and systems.

Required Senior Design Engineer, Networking, 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.
Responsibilities
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHSIC Hardware Description Language (VHDL)), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power, and FPGA/silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Required Senior DFT Lead
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.
As the Design for Test (DFT) Engineer Lead, you will play a crucial role in DFT Architecture and DFT design, and support devices to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality throughout the project life-cycle, and providing sign-off DFT to tapeout.
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 AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Responsibilities
Drive and execute DFT activities in the design, implementation, and verification solutions for application-specific integrated circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, memory built-in self test (MBIST), and automatic test pattern generation (ATPG).
Collaborate with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Oversee DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

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.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.