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DRS RADA Technologies, a leading defense company developing and manufacturing life-saving radar systems, is looking for a Test Equipment Technician to join our site in Beit She’an. Responsibilities:
* Participate in the assembly and integration of manual and automated test equipment according to engineering designs.
* Perform maintenance of manual and automated test equipment, including troubleshooting, software configuration, and occasional RF calibration.
* Provide support and maintenance for factory test systems, anechoic chambers, ESS (Environmental Stress Screening) equipment, and test & measurement equipment.
* Support ongoing projects and implement new test systems.

Required SoC Test Engineer 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.
Our data centers are the most advanced in the world. In this role, you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high volume manufacturing at wafer fabs and Outsourced Semiconductor Assembly and Tests (OSATs). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. You'll help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will need to have a strong understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
Responsibilities
Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, defective parts per million reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and return merchandise authorization handling.
Drive product leadership for silicon engineering organization from architectural definition to global availability.
Collaborate with cross-functional teams across the globe including ATE and SLT test engineering, quality and reliability, packaging, supplier management and operations to build, deploy, and maintain a high volume manufacturing screening solution.
Manage database integration and advanced usage for wafersort, final test, SLT and burn-in, test program integration, optimization, release to production, binning handling upon need, manufacturing flow definition and implementation, material handling during NPI, skew definition, process optimization with foundry.

Required Package Design/Layout 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
Dive into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities. Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
Write, execute, and debug validation tests using Python or C/C++, running on pre-silicon emulation platforms and primarily on the silicon.
Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues. Collaborate closely with architects, designers, and other teams to drive bug fixes and ensure feature functionality.
Contribute to the development of test infrastructure and methodologies to improve validation efficiency and coverage. Mentor and guide junior engineers as the team grows.

Required Senior Emulation 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.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop, execute, and debug full-chip/system on a chip (SoC) tests on emulation platforms.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Define and implement various coverage measures to capture stimulus and corner-case scenarios. Work with software and post-silicon validation teams to reproduce failures on emulation.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out. Explore new verification and emulation methodologies and implement them.

Required Design AI 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.
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 an edge AI IP design team including definition, implementation and deployment, and define IP development methodologies sharing unified blocks within the IP design team.
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Demonstrate technical involvement throughout the entire Intellectual Property (IP) development cycle, ensuring seamless integration into System-on-Chip (SoC).
Perform RTL development (e.g., coding and debug in SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Collaborate closely with software, verification, emulation, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.

We are seeking an experienced Embedded Software Engineer to join our R&D team and contribute to the development of next-generation wireless systems.

In this role, you will be involved in the design and development of advanced wireless MESH solutions for our products, as well as cybersecurity capabilities for our wireless platforms, with a growing focus on integrating capabilities developed using LLMs into our products.

This is a hands-on position that combines embedded software development, networking, and AI-oriented innovation.

Reports to: SW team leader in Israel.

Responsibilities
Design and develop advanced wireless MESH communication systems.
Develop high-performance embedded software in C/C++ on Linux-based platforms.
Integrate software within end-to-end systems (HW + SW + Cyber).
Take part in AI LLM -driven feature development and integration (optimization, automation, data analysis).
Collaborate across teams to deliver robust, real-world deployed solutions.

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 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 Junior RTL Design 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 use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing, etc. You will develop/define design options for performance, power and area.
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
Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

We're looking for a Tech Lead Engineer to drive the technical strategy for our cross-platform endpoint agent - built in C#/.NET and hardened for production across macOS, Windows, and Linux. You'll own features end to end across a managed fleet of enterprise devices, stay hands-on writing code, and raise the technical bar for a distributed engineering team. This role also means setting the standard for how the team uses AI coding agents responsibly - fast, but production-grade.

Responsibilities:
Drive the technical strategy for our cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux.
Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization.
Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices.
Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities.
Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks.
Own high-impact technical decisions that balance velocity, security, and reliability.
Deliver maintainable features supported by comprehensive testing, metrics, and monitoring.
Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership.
Participate in design and code reviews to maintain high engineering standards.
Champion AI-assisted engineering across the team - set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade.

Required Senior SoC and IP Design 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
Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure activities.
Contribute to test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Required Design Engineer, Cloud, Networking
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 an ASIC subsystem and understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Implement designs in SystemVerilog.
Collaborate with software, verification, and physical design stakeholders to ensure the designs are complete and correct.

We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation.

This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews.

Responsibilities:
Assume ownership of features and deliver value to customers.
Design scalable Big Data pipelines using cutting-edge technologies.
Deliver high-quality engineering applying common engineering principals.
Work on building GenAI & Copilots security solutions.
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews.

Required Senior SOC 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.
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).

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.