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Required Networking Silicon Architect, 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 part of the team, you will define solutions for high-performance network accelerators and interconnects in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, with close collaborations with data center systems and Software teams. You will participate in the design, architecture, documentation, and implementation of the next generation of data center networking infrastructure.
You will be responsible for performance analysis for an end-to-end networking stack using your deep knowledge of high speed network infrastructure.
We're behind groundbreaking innovations, empowering the development of 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
Evaluate different silicon solutions for executing our data center networking roadmap, off-the-shelf components, vendor co-developments, custom designs, and advanced silicon integration technologies.
Design high-performance hardware/software interfaces.
Collaborate closely with system, software, verification, emulation, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
Drive vendor execution in various engagements: standard component roadmaps, build to specification, and co-developments.
Contribute to the evaluation of future ASIC designs and general architecture.

We are looking for a hands-on Backend Engineer to join an innovative R&D team building a cloud-native product. You will deliver high-quality Go (and Java where needed) using modern cloud frameworks, and own features end-to-end - from design through production health.
Responsibilities:
Design, implement, and ship backend services for a cloud-native product - from design through production
Write clean, testable, maintainable Go (and Java where needed)
Own features end-to-end with your team: APIs, data model, tests, rollout, and production health
Partner with product and peers on design trade-offs for scalability and reliability
Proactively propose and drive incremental product improvements, not just ticket work
Keep pace with DevOps and cloud-native practices that affect how we build and run software.

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the companys data infrastructure.

This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the companys future growth.

This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.


What Youll Do
Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platforms streaming capabilities.
Design and implement data solutions for all application requirements in a distributed microservices environment
Develop and optimize large-scale data pipelines for batch and streaming use cases.
Ensure data quality, compliance, and governance.
Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.
Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.
Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.
Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.

The company is a leading direct-to-consumer platform for app publishers, processing more than $1B annually. As a Senior Backend Engineer you will build and evolve core backend systems - high-scale, cloud-native services that power critical business flows - with end-to-end ownership from design and architecture to production, monitoring, and continuous improvement.
Responsibilities:
Design and maintain scalable, high-availability backend services in cloud-native environments.
Own features end-to-end: design, implementation, deployment, monitoring, and optimization.
Contribute to system architecture, API design, data modeling, and event-driven flows.
Write maintainable code and participate in design/code reviews.
Optimize performance, reliability, and resource usage.
Collaborate with Product on translating business requirements into technical solutions.
Mentor other engineers and improve engineering standards.

We are looking for Software Project Manager in Petah Tikva (on-site). You will plan and run software delivery projects end-to-end - timelines, resources, budget and risk - working directly with customers and with internal R&D, DevOps and architecture teams.
What You'll Do:
Plan and manage software development projects: scope, timelines, resources and dependencies.
Work with R&D, DevOps, product and architecture teams to keep execution moving.
Track and report progress in JIRA and adjacent project management tools.
Own risks, budgets and stakeholder reporting.
Improve project management processes and Agile practice across teams.
Keep delivery aligned to both business goals and technical requirements.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

Required RTL Design Technical Lead, Servers, 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 part of our Server Chip Design team, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
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
Lead the Design Activities at IPs, SubSystems(S.S) and SoC.
Plan, execute, track progress, assure quality, report status of the assigned activity.
Lead a team of designers both directly and in teams.
Define the Block/SoC level design documents such as Micro Architectural Specifications.
Own IP, S, SoC strategies for clocks, resets, and debugs. Enforce global methodologies and drive enhancements.

our company builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, banking and web. Were looking for an Automation QA Team Lead to own quality engineering for a product team and lead our shift to AI-first QA. Youll set the test strategy, lead a team of QA engineers, and stay hands-on building automation - with AI woven into how tests are designed, authored, and maintained. This is a role for someone who pairs deep automation craft with modern AI tooling and can translate requirements into test documentation that both people and AI agents can execute.
What youll do
Own the QA strategy and test architecture for full stack web applications, end to end.
Lead and mentor a team of QA engineers - reviews, standards, and delivery quality.
Stay hands-on: design and build automated E2E and regression suites with Playwright.
Drive AI-first QA practices - AI-assisted test authoring, self-healing suites, and AI-driven test generation from requirements.
Author Software Test Documents (STDs), test plans, and test cases structured for AI-driven execution.
Partner with developers and clients (including large enterprise and banking environments) to embed quality across the delivery lifecycle.

We are looking for a Senior Full Stack Developer to join a team delivering mission-critical systems for a leading financial institution. You will own features end-to-end across the full stack, working in a secure, highly regulated banking environment where reliability, code quality, and disciplined process matter as much as speed.
This is a hands-on senior role on a layered enterprise architecture. You will be expected to operate confidently across all tiers - from the React client through to the core banking integration - and to raise the engineering bar for the team. We build with modern, AI-assisted workflows, so developers who are fluent with tools like Cursor and Claude Code will feel at home.
Architecture at a Glance
You will design and build across a layered banking architecture, understanding the responsibilities and boundaries of each tier and how data and transactions flow through them:
Client (React | React Native) → BFF (Nest.js / JavaScript) → Middleware (.NET / C#) → Core Banking
Key Responsibilities
Design, build, and maintain full-stack features end-to-end across the client, BFF, and middleware tiers.
Develop responsive, accessible UIs in React and build the Backend-for-Frontend layer in Nest.js / Type script.
Integrate middleware services in .NET / C#, connecting to core banking systems and third-party financial APIs.
Write secure, well-tested, maintainable code, with unit and integration test coverage as part of the definition of done.
Work within the bank's SDLC and governance - change management, environment promotion, security and compliance gates, code review, and release control.
Participate in design discussions and code reviews; mentor team members and improve engineering practices.
Collaborate with product, QA, architects, and the client's teams in a delivery-focused, client-facing setting.

We are looking for a Senior Automation QA Engineer (AQA) to join a team delivering mission-critical systems for a leading financial institution. You will own test automation end-to-end across a layered banking architecture, building the frameworks, suites, and pipelines that keep quality high in a secure, highly regulated environment.
This is a hands-on senior role for an engineer who treats test code with the same rigor as production code. You will define automation strategy, drive coverage across UI, API, and integration layers, and embed automated quality gates into the delivery process. We build with modern, AI-assisted workflows, so QA engineers who are fluent with tools like Cursor and Claude Code will feel at home.
Architecture You Will Test
You will design and maintain automated coverage across all tiers of a layered banking architecture, validating behavior and data flow as it moves through each layer:
Client (React) → BFF (Next.js / JavaScript) → Middleware (.NET / C#) → Core Banking
Key Responsibilities
Design, build, and maintain automated test frameworks and suites across UI, API, and service/integration layers.
Automate end-to-end UI tests for the React client and BFF, and API/contract tests for the .NET middleware and core integrations.
Build, maintain, and optimize automated test pipelines in CI/CD, and embed quality gates into the build and release process.
Define test strategy, test plans, and coverage; partner with developers on where unit, integration, and end-to-end tests belong.
Validate asynchronous and event-driven flows (e.g. RabbitMQ / Kafka) and verify data integrity across services and databases.
Triage failures, perform root-cause analysis, log and track defects, and report on quality metrics and release readiness.
Work within the bank's SDLC and governance - change management, environment promotion, and compliance gates.
Mentor team members on automation best practices and raise the overall quality bar.

We are hiring a Senior Robotics Software Engineer to build the system the autonomy runs inside. You own the runtime - ROS2 architecture, module lifecycle, orchestration, state management, configuration, fault handling, and both ends of the stack: World Model ingestion and the Vehicle Interface down to the platform control systems.

You will face hard real-time constraints, embedded compute, and a system that has to keep behaving correctly when parts of it do not. You own the stack across its full depth, from the interfaces at its edges to how the whole thing behaves in the water.

What Will You Do?
Own the autonomy runtime: ROS2 and modern C++ architecture, module lifecycle, orchestration, state management, data flow, configuration, fault handling and recovery
Implement the system's two contracts: World Model ingestion and Vehicle Interface adapters to the platform control systems
Own deployment to the vessel compute: builds, packaging, versioning, configuration management and CI
Work with system engineering and field teams on vessel bring-up, sea trials and debugging in the field
Build logging, recording, replay and observability - the ability to take any run at sea and reproduce it exactly on a desk
Integrate and operate the simulation environment (SIL)
Own reliability, timing and performance of the stack on embedded hardware

we are looking for a Lead SoC Architect
Responsibilities

Definition and detailed hardware specifications of subsystems in the SoC

Breaking down the sub-system architecture into microarchitectural blocks with the related firmware, and SW components.

Understanding the system in which the SoC is integrated to and designing the SoC to perfectly fit into the datacenter system.

Required Data Center Operations Manager, Global Server Operations
About the job
We are not just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind our powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like our Linux cluster). You'll also address the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
You manage a team that ensures the quality installation of server hardware and components. You coordinate over multiple sites and take charge of complicated installations/troubleshooting.
The Data Center team operates some of the most sophisticated server, storage and networking systems on the planet. Our teams ensure that our customer service level agreements and availability goals are met while maintaining environmental and safety standards, at scale.
In this role, you will be responsible for daily operations in third-party owned and operated data center facilities. You will manage a team of data center technicians and oversee the installation and maintenance of server and network infrastructure. You will take charge of complicated installations/troubleshooting and ensure timely completion of project work. As a people manager, you will look after your team's development and career growth.
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
Lead a team of individuals; set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.

our company builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Full Stack Team Lead to own the technical direction of a product team - setting architecture, raising engineering standards, and shipping. Youll lead hands-on: writing code, guiding a small team of engineers, and partnering directly with clients (including large enterprise and banking environments). This is a role for someone who leads by example and treats modern AI-assisted development as a core part of the craft.
What youll do
Own the technical design and architecture of full stack applications, end to end.
Lead a team of engineers - code reviews, mentoring, and raising delivery quality and velocity.
Stay hands-on: write production JavaScript/TypeScript across the React and Node.js stack.
Drive AI-first development practices (Claude Code, Cursor) across the team.
Work closely with clients and stakeholders to translate business needs into technical solutions.
Uphold engineering standards: testing, CI/CD, code quality, and delivery discipline.

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.