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Required Senior Silicon DFT Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will play a crucial role in Design for Testing (DFT) Architecture and DFT design, and support devices of extreme complexity to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality matrix throughout the project life-cycle, and providing sign-off DFT to tapeout.
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 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 are looking for a AI-Native Pod Leader.
The AI-Native Team Leader is a new kind of engineering leader at Payoneer - equal parts technical authority, people developer, and AI-first builder. Youll lead a small AI Pod that owns its problems end-to-end: from understanding the business need, through architecture and implementation, to production monitoring. There are no hand-offs, no tickets, no specs thrown over a wall. Your team builds with AI as a primary tool, ships fast, and sets the methodology for how R&D works next.
What youll do:
Lead and develop a small 3-4 engineers AI Pod, with a clear focus on their technical growth, autonomy, and delivery outcomes
Provide technical authority hands-on - code, architect, review, and ship alongside your team
Own the full delivery loop: understand the business problem, define the solution, architect it, ship it, monitor it - no one hands you a spec
Collaborate directly with Product, Design/UX, DevOps, and business stakeholders to define decision logic, risk thresholds, and success metrics - building capabilities, not features
Drive AI-native development - Claude Code, Cursor, and whatever tools give your team the most leverage; build in a day what used to take a team a week
Build the harness before you ship - evaluation frameworks, monitoring, and observability go in on day one, not after the first incident
Be accountable for overall design, architecture, code quality, and production environment across your team
Set a higher technical bar - run design reviews, champion engineering best practices, and push for continuous improvement in code quality and team craft
Define the methodology - this is early-stage work within Payoneer; you wont inherit a playbook, youll write it

we are looking for a Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

For our site in Holon, we are looking for an RF Simulation Student Engineer to join our Simulators Group.
In this role, you will take part in the characterization, integration, testing, and maintenance of advanced RF simulation systems designed to emulate radar environments.
In this role you will:
Characterize and support RF simulation systems for radar environment emulation
Perform integration and maintenance activities for simulator platforms
Work with RF measurement equipment and support testing activities
Participate in development and validation processes of RF systems
Collaborate with multidisciplinary engineering teams across development and integration activities.

we are looking for a Staff Engineer.
As a Staff Software Engineer on the Modernization Team, you will tackle the deepest, most systemic architectural challenges in platform owning end-to-end migrations, building shared infrastructure, and creating the tooling that enables every product team to move faster and more safely.
The Modernization Team operates with a native agentic mindset this is not an add-on or an experiment; it is core to how we build. We apply AI-assisted development across every phase of our work: automated code generation, AI-driven migration scripts, intelligent test generation, code review, and documentation. Our goal is not just to write code faster it is to build tooling that multiplies the output of every engineer working on modernization challenges.

Were looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.
What youll do:
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

We are looking for
For our company site in Haifa, we are looking for a Technical Manager to lead a fighter aircraft upgrade program for a foreign air force
.Join a meaningful and complex project involving the leadership of advanced engineering activities in the aerospace and defense industry. This role includes collaboration with multidisciplinary teams בארץ ובעולם, leading development and integration processes, and contributing directly to advanced operational capabilities
In this role you will
Lead all engineering activities from the design phase through aircraft delivery to the customer
Work with subcontractors to define work scope and implement purchased systems
Collaborate with internal development teams to establish development and integration infrastructures
Coordinate cross-functional engineering teams including environmental engineering, E3, mechanics, and additional disciplines
Be responsible for all development stages including requirements definition, implementation, integration and testing, safety, flight testing, and customer support.

We are looking for
we are looking for a Board Design Engineer for our Haifa site within the Aerospace Division. Join a leading global technology company developing advanced mission-critical systems and cutting-edge solutions across a wide range of defense applications. As part of our multidisciplinary engineering teams, you will take part in the development of advanced hardware platforms while working with cutting-edge technologies and complex engineering challenges
In this role you will
Support the development lifecycle of printed circuit boards (PCBs), from requirements capture and board-level architecture definition through design, integration, and testing of advanced digital hardware systems
Work closely with Software, FPGA, Mechanical, and Environmental Engineering teams throughout the development process
Lead PCB layout reviews, high-speed design activities, and signal integrity considerations
Perform debugging, validation, and engineering problem-solving activities during development and integration phases
Collaborate across teams and contribute to technical discussions and engineering solutions.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.

Responsibilities

Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.

Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.

Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.

Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.

Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.