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our companys Finance team is looking for a highly motivated, detail-oriented, and experienced Senior Treasury Associate to join our global organization.
In this role, youll collaborate with international banks and asset managers overseeing our companys fixed income portfolio. Youll take ownership of global liquidity management Cash Flow and Banking relationships across the world. You will also manage Foreign Exchange hedging strategies, Share Repurchase activities, and corporate Insurance programs.
This position offers high exposure, including frequent interaction with senior management and global finance functions, while reporting directly to the Corporate Treasurer.
Youll be part of a fast-paced environment where accuracy, trust, and ownership are critical to success.
Key Responsibilities
Manage global cash and liquidity, monitoring 100+ bank accounts daily across subsidiaries
Create and maintain cash flow forecasts
Lead investment execution, interest income analysis, risk and strategy for a $4B portfolio
Identify FX exposures, conduct FX trading, manage global hedging, and perform hedge effectiveness testing
Support and analyse the companys share repurchase program
Manage global insurance programs and renewals, including broker negotiations
Lead implementation of new treasury systems and tools
Maintain up-to-date global bank account records and authorized signer details per regulatory standards
Support intercompany transactions and wire transfers
Create reports for internal tracking and external audit purposes
Lead projects and ensure timely delivery of outcomes
Ensure compliance with internal policies, controls, and SOX (Sarbanes-Oxley) requirements.

Join our amazing Cloudinfra R&D group that is responsible for our companys Infinity Portal!
We are looking for a strong, motivated and highly technical Backend Engineer.
The Backend Engineer will:
Join a team of highly skilled and talented engineers, building server-side infrastructures in NodeJS as part of our companys Infinity Portal.
Collaborate with other teams in our group, QA engineers, cross-organization functions, and customers.
Innovations and enhancements are welcome, and are an integral part of our work and the teams success.
If youre eager to make a wide impact in the field of security and infrastructure, if youre passionate about development and latest industry technologies and if youre a real leader - this opportunity is for you!
Key Responsibilities
As the Cloudinfra Back-End Engineer you will:
Design and build new solutions/features to help our customers improve their cloud security.
Get an experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact.
Constantly Improve existing implementations.
Adapt and take on more responsibilities and own your share of the product.
Work with product managers, business, and other teams at our company.

Required Software Engineer III, Network Observability, Cloud
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.Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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 our 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 Silicon Validation and Debug 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.
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
Contribute to developing and improving post-silicon test content that exercises both IP and SoC levels workloads and other compute-intensive scenarios.
Collaborate with architecture, design, and firmware teams to define comprehensive validation plans for SoC features, focusing on power consumption, thermal management, sensors behavior, and performance metrics.
Work closely with design and firmware teams to propose and implement solutions for optimizing SoC power efficiency and performance, including tuning core-to-memory latencies and bandwidth, power control loops, thermal control loops, etc.
Develop and maintain automated test scripts and frameworks (primarily in Python) to improve validation efficiency and coverage.
Participate in early silicon bring-up and platform bring-up activities, ensuring the stability and functionality of high-power multi-core SoCs.

Required SoC Test 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.
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 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.
Product sustain support, including volume data analysis, test time and yield improvements, assess test escapees and Return Merchandise Authorization (RMAs), localize failures, implement containment measures and partner with design, manufacturing, quality and reliability teams to root cause and implement corrective actions.
Develop tools, flows and methodologies to continuously improve and automate the testing life cycle.

Required Research Engineer, Generative Media, DeepMind
About the job
Our team's mission is to build frontier generative media experiences. We are pushing the boundaries of what is possible by developing real-time, interactive video models like Genie, as well as exciting new applications and capabilities.
We have a proven track record of researching and delivering foundational generative models for video and action-controllable virtual worlds, as well as applications such as video stylization, reference-to-video generation, and precise object insertion and removal.
Artificial intelligence will be one of humanitys most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
Design, implement, train, and evaluate novel deep learning models for real-time generative media, including video-audio synthesis, manipulation, and understanding.
Develop and optimize algorithms and systems for AI experiences on Omni platforms, focusing on live dialog, live video editing, and crosscut.
Collaborate with research scientists and engineers to prototype, experiment, and scale generative AI techniques using software engineering best practices.
Contribute to the design of datasets, evaluation methodologies, and infrastructure required for training and testing generative models.
Analyze results to iterate on architectures, contribute to research publications, and help deploy successful research into GDM and our products.

Required Design Verification 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.
As a Design Verification Engineer, you will be a part of the Research and Development team to verify digital designs, develop constrained-random test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through corner-case testing.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/Universal Verification Methodology (UVM) or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

Senior Full Stack Engineer – Control Plane Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time – with zero human intervention . Our platform runs in production at global enterprise customers , including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization.
We're looking for a Senior Full Stack Engineer to own our enterprise web application and control plane. You'll build the UI and APIs that let engineering leaders monitor, understand, and control autonomous cloud systems in real time
What You'll Do
Lead end-to-end design and implementation of our production-grade SaaS platform and control plane
* Drive core system architecture and technology decisions for scalable, low-latency APIs and intuitive frontend experiences
* Build high-performance, real-time visual interfaces and explainability tools for monitoring autonomous cloud infrastructure
* Take full ownership across the lifecycle : from concept and design to implementation, testing, CI/CD, and production monitoring
* Collaborate closely with backend, AI, and distributed systems engineers to ship complex, mission-critical platform features
What You'll Bring 4+ years of Full Stack Engineering experience building robust, production-grade web applications
* 2+ years of hands-on production expertise with AWS services (Lambda, ECS, Fargate, DynamoDB, ECR, S3, API Gateway, EventBridge)
* Strong production mastery of Python (FastAPI) on the backend and React on the frontend
* Proven track record of developing and scaling enterprise SaaS web applications Maker mentality with strong product intuition, high agency, and passion for engineering craftsmanship ?Nice to Have
* Experience designing real-time, event-driven, or high-throughput cloud architectures
* Exposure to modern frontend state management, TypeScript , and micro-frontends / modern component architectures
* Background in cloud infrastructure, observability/telemetry dashboards , or developer-facing platforms
* Prior service as a Software/Full Stack Developer in an elite IDF technology unit (e.g., 8200, Mamram, Ofek, Matzpen) What We Offer Top-of-market compensation + significant equity Direct ownership over core product and control plane architecture
* Work with founders, engineering leads, and global enterprise customers on mission-critical systems Small, high-impact team that values ownership, speed, and technical depth over process
Ready to build the frontend and control plane for autonomous AI infrastructure? Hit Apply.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time – with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization.
What You'll Do Own end-to-end analytics for core product areas: cost optimization, SLA, failure rates, and workload efficiency
* Define and instrument key product KPIs and dashboards used by engineering, product, and executives
* Build and maintain production-grade data pipelines and models on enterprise-scale telemetry (Databricks/Spark, logs, metrics, traces)
* Run deep-dive analyses and experiments to validate features and uncover optimization opportunities
* Partner with backend/ML engineers to translate complex multi-cloud performance metrics into actionable platform intelligence
What We Offer Top-of-market compensation + significant equity (above market standard) Direct ownership over core data infrastructure and product KPIs
* Work with founders, engineering leads, and global enterprise customers on mission-critical systems Small, high-impact team that values ownership, speed, and technical depth over process Ready to shape the data engine behind autonomous AI workloads? Hit Apply.

Required Data Center Security Manager (English, Hebrew)
About the job
As a Data Center Security Manager, you deliver full pieces of a project and make significant contributions with minimal guidance. You use your knowledge of security technology, data analysis, and data visualization to plan efforts of a team responsible for small to medium sized initiatives by delivering value-added perspectives and influencing project direction. You contribute to cross-team collaborations, identify and recommend multiple creative ways to solve defined problems. You also demonstrate the behaviors expected of as captured in our cultural pillars, and you engage in community contributions to improve and sustain our culture and operations, making it a better place to work.
In this role, you will take ownership of key activities including security budgeting, and manage physical security vendor operations to ensure high-performance service delivery.
You will partner closely with cross-functional teams to implement security policies, lead investigations, and proactively mitigate operational risks. You will direct responses to active security incidents, coordinate critical event workflows, and serve as the primary, authoritative liaison with public safety officials and law enforcement.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our platforms, we make our product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Implement established compliance processes aligned with Compliance, Strategy, and Risk Management (CSRM) policies, standards, guidelines, and relevant legal or regulatory requirements.
Manage the security related costs through budget, forecasting, and invoice control for the assigned campus, assist management with financial analysis and input to financial decisions for security requirements.
Provide after-hours on-call management support and participate in emergent, large-scale event response or crisis management when needed.
Be responsible for the compliance, security and risk management program at the data center campus or related infrastructure which includes managing site security incidents, escalations, guard contract management and all other physical security related issues.

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.

Required ChipDev CAD Engineer, Hardware, Cloud
About the job
Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
You will have the opportunity to find the perfect blend of software design practices and hardware development complexity. Whether your strength is in software coding, with a good understanding of hardware, or you are a hardware engineer with software proficiency, this balanced role will let you shine in both disciplines at the same time.
Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
Create software solutions that improve the hardware design process through automation. Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow.
Work directly with the hardware team on projects prototype and then deploy tools to make a positive impact on our chip hardware development process. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the issues and the impact on hardware and quality.

Required Staff Embedded Firmware Engineer, High Speed DSP
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 Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmwarm.
Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact our AI infrastructure.