לוח משרות דרושים הייטק תוכנה

We are hiring a super talented Senior Full Stack JavaScript Engineer to join our team in our Tel Aviv office. Hybrid work is also offered. We have a very exciting roadmap of features planned and are looking for someone who thrives in an innovative, fast-paced environment where their voice is heard when building new features or using new components.
Responsibilities:
Help build new features into the existing product, and optimize existing pages.
Deliver full stack features end-to-end in production environments, from idea to user value.
Help discover, diagnose, and fix any bugs or issues.
Work with the design team to ensure everything matches our brand, is responsive, and works perfectly.
Respond and troubleshoot any downtime events and create systems and procedures to prevent them from happening.
Build automated QA tests to run before deploying to production.
Brainstorm new ideas to enhance the software in any way.
Collaborate closely with Product, Design, and QA to iterate on features and user experience.
Proactively communicate progress, challenges, and tradeoffs.
Help lead projects, build our dev team and mentor junior developers.

Were looking for a Frontend Infrastructure Tech Lead to join our Tel Aviv office. In this role, you will architect, build, and lead the core frontend platforms, design systems, and developer experience tooling that power all product squads.
Youll own the technical vision for the frontend architecture and enable teams to ship faster, more reliably, and with a consistent, high-quality user experience. This is a hands-on technical leadership role focused on frameworks, shared libraries, UI platforms, testing standards, and scalable frontend infrastructure.
Responsibilities:
Define and enforce standards for performance, reliability, testing quality, and UI/UX consistency.
Own the design system, component library, and reusable UI frameworks that unify UX across products.
Build and maintain core developer experience tooling: build systems, component testing frameworks, Storybook infrastructure, and shared CI/CD workflows.
Drive frontend reliability, and rollout safety using observability, performance metrics, and feature-flag systems.
Partner with squads and cross-functional teams to guide best practices in accessibility, performance, testing, and maintainability.
Lead major frontend initiatives such as migrations, framework upgrades, and platform-wide refactors.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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 with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
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 company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other company Software teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
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 company 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.

Were looking for a Backend Infrastructure Tech Lead to join our Tel Aviv office. Hands-on role focused on building, scaling, and evolving the backend platforms, infrastructure, and internal tooling that power & enable our product engineering squads.
You will design core frameworks, microservice foundations, delivery pipelines, and cloud-native systems that accelerate development speed, improve reliability, and enable product teams to build confidently and independently. Your work directly improves engineering velocity, architecture quality, and operational excellence across the company.
Responsibilities
Build resilient, high-scale backend services in a modern Node.js / TypeScript ecosystem.
Partner with squads to drive best practices, improve developer experience, and enable fast, reliable delivery.
Own core backend platform foundations: microservice skeletons, shared libraries, event-driven patterns, and internal services.
Develop and maintain key frameworks for distributed logging, metrics/telemetry, testing (unit/integration/contract).

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company services around the world.
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 company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define and implement solutions for complex design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Involve in project development and convergence with the highest quality, agreement with issues as they arise through design and implementation, or equivalent relevant experience.
Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

our company's 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 companys 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.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Evaluate, analyze, implement, and integrate SRAMs, other memories (such as multiport register files), and custom circuits. Drive proper IP integration and margins with the physical design team.
Partner with foundries and IP providers, as well as internal technology, physical design, and architecture teams, to optimize products for PPA, schedule, and reliability in advanced CMOS nodes.
Drive and support test chip design, execution, and validation of critical circuit IPs.
Design and build custom circuits at the transistor and gate levels to support physical design and power-performance-area optimization.
Drive development of a leading edge technology platform for custom, high performance ASICs and SoCs, from design through manufacturing, packaging, and test.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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 SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.

At our company, were building the intelligence layer for the modern engineering era. As AI fundamentally reshapes how software is conceived and delivered, our platform provides engineering leaders with the precision insights and agentic workflow engines required to ship faster, smarter, and with higher quality.
We are looking for a Senior Product Manager to spearhead the scaling of our AI ecosystem. Youll be responsible for bridging the gap between data and autonomous action, ensuring that every developer-and every AI agent-is operating at their peak potential. Join us in defining the future of high-velocity, AI delivery.
Responsibilities:
Lead the product activity and development efforts in one of our main business domains, focusing on optimizing user experiences and driving product scalability.
Collaborate closely with cross-functional teams, including design, engineering, data analysis, and other stakeholders, to define product goals and priorities.
Identify opportunities for improvement and innovation and translate them into actionable plans and prototypes.
Drive the execution of product initiatives, ensuring alignment across other product teams within the organization.
Define and track KPIs to measure the success of initiatives and make data-driven decisions to optimize them.

About Us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. Changing global trade starts with shipping great code. Boxes don’t move before those bytes move.
About the Role We’re looking for a Mid-Level Full Stack Engineer who gets excited by solving complex problems and building systems that directly impact millions - make that billions - of dollars in global trade. Our platform manages over two billion pricing points, hundreds of thousands of quotes, and millions of location codes. This is not just UI polish or backend plumbing - it’s building reliable, scalable systems end-to-end. You’ll work across frontend and backend layers while leveraging AI-powered development workflows - especially vibe coding - to move fast, iterate intelligently, and ship high-quality features. Speed matters, but reliability matters more. That’s why you’ll back everything up with strong automated testing and clean engineering practices. Come ready for a challenge - and don’t be fooled by container ships; this is rocket-science technology.
What You’ll Do
* Design and build end-to-end features across frontend and backend services.
* Develop modern, scalable UI/UX features using best practices and clean architecture.
* Build robust backend APIs and services that power high-scale, high-availability systems.
* Use AI-assisted development (vibe coding) to accelerate feature delivery and reduce iteration cycles.
* Validate AI-generated and AI-assisted code with comprehensive automated tests (unit, integration, and end-to-end).
* Contribute throughout the development and deployment lifecycle across the R&D organization.
* Collaborate with product managers, designers, backend, and DevOps teams to deliver business-critical capabilities.
* Troubleshoot and solve complex cross-stack issues in a large-scale codebase.
* Continuously improve development workflows, introducing mechanisms and best practices to prevent recurring issues.
* Help evolve AI-driven engineering standards within the team.



Hybrid:
Yes

abra R&D is seeking an Embedded Python Developer to join our team! We are looking for a Python Software Engineer to develop the application layer of a multidisciplinary autonomous drone system. You will work on the drone’s main onboard computer, building high?level logic, integrating algorithms, and creating communication and control flows across multiple subsystems. Responsibilities
* Develop application?level and high?level control logic for an autonomous platform.
* Implement management modules and integrate external algorithms (SO/DLL).
* Work with communication protocols (UDP, REST, DBS, CTP).
* Collaborate with multidisciplinary teams (systems, electronics, algorithms).
* Participate in integration and field testing when needed.

abra R&D is seeking for a Senior Fullstack Developer! We are looking for a Fullstack Developer with strong experience in React and Python or Java to join the development of a large?scale, complex web?based industrial platform. The system is a mission?critical application that combines real?time data, advanced analytics, and integrations across multiple systems. Responsibilities:
* Fullstack development of complex web applications.
* Frontend development using React
* Backend development using Python or Java
* Design and development of RESTful APIs.
* Collaboration with cross?functional development and product teams.
* Use of AI tools as part of development and debugging workflows.