לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,529 משרות

We're looking for a finance professional to own budgeting, forecasting, and SaaS revenue modeling while serving as a trusted business partner to C-level leadership. This is a high-visibility role for someone who wants to grow with the company and, over time, help shape and expand our FP&A function.

Responsibilities
Own the annual budgeting process and rolling forecasts across the company, partnering with department heads to build and defend their plans.
Build and maintain SaaS revenue models (ARR/MRR, bookings-to-revenue, net/gross retention, churn, cohort analysis) and translate them into board- and investor-ready outputs.
Serve as the financial focal point for C-level executives, delivering the analysis and scenarios they need to make strategic decisions.
Track and report on key SaaS metrics and unit economics (CAC, LTV, magic number, burn, runway, Rule of 40).
Lead monthly and quarterly close-related reporting, variance analysis, and management reviews.
Support fundraising, board reporting, and long-range planning.
Drive continuous improvement of financial processes, systems, and data quality.

We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies.

You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you.

Responsibilities:
Build, train, and ship detection models end-to-end, from raw data to production.
Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results.
Partner with security researchers to turn security research outputs and domain expertise into detection capabilities.
Own evaluation: design benchmarks, build labeled datasets, and define production standards.
Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability.
Iterate fast, with a tight feedback loop between model performance and product outcomes.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.

Responsibilities:
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce our Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

Required SoC Edge-AI 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.
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 Design Verification SoC 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 cutting-edge 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 robust, 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 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.
Work closely with Architecture, Software, Design, and Physical Design stakeholders to make technical decisions and represent project status throughout the development process.
Develop verification features and capabilities, and participate in RTL debug.

We're looking for a Principal Product Manager to define and drive our product strategy across our strategic technology partners. This role sits at the intersection of product management, technology strategy, and customer discovery. You'll work closely with product and engineering leaders at leading technology companies to identify opportunities, shape joint product experiences, and deliver integrations that create meaningful value for our customers. You'll own the product vision for our ecosystem-discovering new capabilities, influencing roadmaps, and ensuring we deliver a seamless experience across the platforms our customers use every day.

Responsibilities
Define and execute our product strategy for strategic technology partnerships, prioritizing ecosystem investments based on customer needs, business impact, and strategic value.
Build trusted relationships with Product Managers, Architects, and Engineering teams at leading technology partners, and influence their roadmaps by collaborating closely on APIs, platform capabilities, and joint initiatives.
Identify customer problems that can be solved through joint product experiences, and define compelling "Better Together" solutions that drive customer value and differentiate us.
Own the end-to-end product lifecycle for strategic integrations - from discovery and prioritization to launch and adoption - collaborating with Engineering, Design, Product Marketing, Sales, and Customer Success along the way.
Define success metrics and continuously measure adoption, customer impact, and business outcomes.
Represent us in product discussions with strategic technology partners and customers.

Responsibilities:
Take an ambiguous, open-ended security challenge and drive it toward a working POC that proves the company`s approach, ensuring technical feasibility and clear business value.
Partner closely with Product, R&D, and GTM. Dont just analyze emerging problems-design and POC the solutions so customers experience the value firsthand.
Own the end-to-end innovation loop: ideation, scoping, prototyping, customer validation, and documentation.
Lead the decision-making on architecture, tooling selection, and technical tradeoffs.
Manage the transition of successful POCs to Engineering and lead the incubation of new product directions.
Stay ahead of the rapid AI evolution and provide a strategic perspective on industry needs.

Required Outcome Customer Engineer, Cloud Platform Delivery
About the job
The Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Platform Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities.
You will blend business expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Cloud portfolio.
Responsibilities
Develop and orchestrate a structured deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.
Identify expansion opportunities for new workloads within the account during project execution.
Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

Required Senior Silicon DFT 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 play a crucial role in Design for Testing (DFT) Architecture and DFT design, and support devices of extreme complexity to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality matrix throughout the project life-cycle, and providing sign-off DFT to tapeout.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 our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead and execute activities in the design, implementation, and verification of DFT solutions for large-scale ASICs.
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage the DFT team's workload and deliverables, provide technical leadership and guidance to the team.
Lead DFT execution of a silicon project (e.g., planning, execution, tracking, quality, and signoff).

Required Software Engineer II, Mobile iOS
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.
The Core team builds the technical foundation behind our flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Build our native iOS offering, including building rich experiences, focused on increasing engagement with our products and features and incorporating the latest trends in iOS development and capabilities into our apps.
Explore new initiatives and improvements on how to get users more engaged with our products and features.
Increase robustness of existing products, improving data analytics pipelines and analytics, ML capabilities, better experimentation capabilities, alerting, and improving campaign management.
Improve and scale products, by UX improvement, improving latency and product quality, and experimentation related to content improvement.

Required SoC Chip Architect, Cloud, Silicon
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 an SoC Chip Architect, you will lead the definition of groundbreaking, high-performance custom silicon and multi-chiplet systems for our Cloud AI infrastructure. You will bridge the gap between hyperscale data center workload requirements and silicon implementation across various domains, collaborating with cross-functional partners to design scalable, energy-efficient, and feature-rich SoCs.
You will be part of a team pushing the boundaries of custom silicon engineering, architecting next-generation data center products that deliver industry-leading performance, low latency, and massive bandwidth for Cloud and our flagship AI services.
Responsibilities
Lead top-level SoC architecture across multiple disciplines, including IP architects, digital design, verification, physical design, validation, firmware, power management, security, and system software.
Architect and analyze complex multi-chiplet systems, including chip partitioning, die-to-die (D2D) interconnects, advanced packaging constraints, and high-performance on-chip fabrics (NoC).
Define top-level SoC subsystems, memory hierarchies, clock distribution, reset schemes, and power domains to ensure optimal system performance and operational efficiency.
Formulate end-to-end operational flows, latency models, and system throughput analyses for data center workloads.
Own the SoC architecture specification and lead it throughout the complete product life-cycle: concept, modeling, implementation, tape-out, and post-silicon bring-up.

Required Software Engineer II, Notification Platform
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.The Core team builds the technical foundation behind our flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Help the team improve our offering to collaborators by implementing new features and abilities.
Design and build back-end services and pipelines.
Collaborate with other team members to solve complex problems across a large stack of technologies.

Required Micro-Architect, 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
Lead Design Activities at IPs, SubSystems(S.S) and SoC.
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, VHDL), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power, and FPGA/silicon bring-up, as well as test plan development and coverage analysis for block and SOC-level verification.
Communicate and collaborate with multi-disciplined and multi-site teams.

Required Silicon Test and DFT Engineer, 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.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

Requred SoC Power Architect, Cloud, Silicon
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 a Power Architect, you will not just design chips; you will define the energy efficiency of the infrastructure that powers our services worldwide.
In this role, you will be at the intersection of architecture, logic design, physical implementation, and system software. You will own the power architecture for next-generation custom SoCs (System on Chips), making critical trade-offs between performance, thermal constraints, and power delivery to build the most efficient computing platforms on the planet.
Responsibilities
Define and own the SoC power architecture, including complex power domains, clocking structures, and power delivery network (PDN) solutions to achieve optimal performance-per-watt.
Architect sophisticated power management policies, including dynamic voltage and frequency scaling (DVFS), power gating, and state strategies. Define the hardware/software interface for the Power management unit (PMU) and provide power management specifications.
Lead collaboration across architecture, RTL, physical design, packaging and validation teams to establish power budgets and specifications. Ensure power requirements are met from concept to tape-out.
Develop high-fidelity power and performance models to evaluate architectural features early in the design cycle. Drive pre-silicon power estimation and analysis to guide design decisions.
Lead post-silicon power analysis, correlating lab measurements with pre-silicon models to close the loop and improve future methodologies.