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As a chip design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state of the art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops some of the switch silicon core units specializing in quality of service.

Build reference models, verify and simulate chip blocks/entities according to specifications under challenging constraints with high orientation to power, area, and performance.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

We are now looking for a Senior Chip Design Verification Engineer to join our Switch Silicon team. As a Chip Design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What You'll Be Doing:

Work in a design/verification team which develops core units within the Switch silicon.

Micro-architecture of dynamic verification environments planning for units and modules.

Design dynamic verification environments of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.

Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW.

We are now looking for a Senior Hardware Quality Engineer. This role leads the quality strategy and execution across the entire product development lifecycle, ensuring adherence to robust engineering standards and organizational goals. You will drive multi-functional alignment, manage risks, and champion proactive quality measures and continuous improvement initiatives. The mission is to deliver high-quality products by optimizing development, verification, and validation processes from concept to mass production.

What youll be doing:
Lead multi-functional teams to guarantee seamless completion of all development stages, adhering closely to technical guidelines and quality criteria.
Ensure the professional and robust execution of all development phases, strictly adhering to engineering standards and defined quality requirements.
Drive proactive quality activities such as Inquiry, Root Cause Analysis (RCA), and implement effective Corrective and Preventive Actions (CAPA).
Identify, prioritize, track, and mitigate potential risks to prevent impact on schedule and quality.
Manage product changes and maintain configuration control throughout the development lifecycle.
Promote and enforce early detection mechanisms by driving the implementation of early checks, continuous monitoring, and rapid resolution of identified issues.
Ensure the organization is maintaining adherence to quality control plans and processes; maintain and enhance product design development, verification, and validation processes, to allow high quality of products throughout the entire product life cycle.
Partner with Continuous Improvement to drive Quality process improvement initiatives to reduce customer complaints and internal scrap, including developing and coordinating department project planning.

Required Researcher
Description
We are a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.
Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.
We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.
In a world increasingly dominated by learning machines and artificial intelligence, we are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on our financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize our Algorithms.

We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

We are now looking for a best-in-class Chip Design Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Your daily work will involve all aspects of Design Verification : Planning, Coding, Coverage and Integration.

We are looking for a Hardware Failure Analysis Engineer to join the Interconnect FA team. This role will be part of the Product Engineering organization supporting our advanced high-speed interconnect and optical communication products.

The ideal candidate will lead failure investigations of complex hardware systems, including electro-optic modules, high-speed electrical interfaces, and optical interconnect components, supporting both production and customer-returned units. The role requires strong analytical skills, hands-on laboratory debugging, and the ability to drive root cause investigations across electrical, optical, and system domains.

What you'll be doing:

Lead failure analysis investigations on interconnect products including optical modules, AOCs, and high-speed hardware platforms.

Review architectural design aspects (electrical, optical, mechanical, process, and firmware) to identify potential design or integration issues.

Design, develop, and execute debug and validation test plans to identify root cause of hardware failures in production or customer-returned units.

Perform hands-on electrical and optical debugging using laboratory equipment and automated test systems.

Correlate electrical, optical, and system-level measurements to identify failure signatures.

Work closely with internal engineering teams (design, validation, manufacturing, reliability) and external partners to drive root cause and corrective actions.

Document investigation results and deliver clear technical FA reports summarizing findings and recommendations.

We are looking for a Hardware Failure Analysis Engineer to join the Interconnect Failure Analysis (FA) team. This role will be part of the Product Engineering organization supporting our advanced interconnect products used in AI and high-performance computing systems.

The ideal candidate is passionate about understanding how and why hardware fails at the physical level. You will develop and execute advanced physical failure analysis techniques to identify root causes in complex electronic and electro-optic assemblies. The role combines hands-on laboratory work, innovative sample preparation, materials characterization, and collaboration with multidisciplinary engineering teams to solve challenging hardware failures.

What you'll be doing:

Lead physical failure analysis investigations on advanced interconnect products, including PCBs, packages, optical modules, ASICs, and electro-mechanical assemblies.

Develop, optimize, and execute destructive and non-destructive sample preparation techniques to expose failure sites while preserving physical evidence.

Perform detailed failure analysis using advanced microscopy and analytical techniques, including: Scanning Electron Microscopy (SEM), Focused Ion Beam (FIB) cross-sectioning and circuit editing, Optical microscopy, X-ray imaging and CT, Cross-section analysis, Surface and fracture analysis

Correlate physical findings with electrical, optical, manufacturing, and reliability data to determine root cause.

Design new failure analysis methodologies and continuously improve laboratory capabilities, workflows, and best practices.

Partner with design, manufacturing, quality, reliability, packaging, and system engineering teams to drive corrective actions.

Generate clear technical reports documenting failure mechanisms, supporting evidence, and recommendations.

Evaluate and introduce new FA tools, sample preparation methods, and characterization techniques to improve investigation capability.

We're looking for a talented Robotics Algorithm engineer to join our team and develop cutting-edge perception and localization capabilities for autonomous systems. Design, develop, and optimize algorithms for SLAM, Mapping, Localization, Sensor Fusion, and State Estimation. Build robust solutions using data from LiDAR, Cameras, IMU, GNSS, and Odometry sensors. Implement and improve graph-based optimization and probabilistic estimation algorithms. Integrate Machine Learning and computer vision techniques into perception and navigation pipelines. Develop, TEST, and validate algorithms in simulation and real-world environments. Optimize software for Real-Time performance on Embedded and edge computing platforms.

As a Technical Policy researcher, you'll tackle some of the biggest and most complex questions of AI development and deployment. Your work outlining problems, solutions and principles for governments, frontier labs, and deployers will shape the emerging field of AI security.

Representative projects:

Threat modeling and fleshing out in what specific way could a strong cyber-capable model cause harm.

Taxonomies for dangerous AI capabilities or mitigations.

Policy proposals for models' refusal policy (which prompts models should refuse to follow).

Following up on publications and news on AI policy, AI risks and mitigations, and technical AI research.

Writing academic papers and blog posts detailing our research around evaluation theory or mitigation recommendations.

Publishing your research and/or delivering research to our customers.

Required RF/HW & System Validation Engineer
Scope:
As an RF/HW Validation Engineer, you will bridge the gap between HW/RF validation and complex system-level testing. You will design, develop, and execute automated and manual test plans to verify the performance, reliability, and compliance of our SDR (Software Defined Radio) architectures and multi-layered tactical systems (including integration with other systems).
Key Responsibilities:
System-Level Testing: Execute end-to-end system testing of counter-drone platforms, verifying the integration of RF hardware, firmware, and complex software-defined radio algorithms under real-world scenarios.
Hardware Product Testing: Test and validate various HW products, including antennas, radar systems, jammers, and related peripherals.
Failure Analysis & Troubleshooting: Debug complex RF anomalies, signal integrity issues, and system bugs down to the component/board level, working closely with RF Design, Board Design, and SW teams.
Documentation: Create comprehensive test plans (ATP/DTP), write test reports, and present data-driven analysis to cross-functional R&D teams to impact the next generation of hardware.

As an AI Researcher on Research group, youll research, develop and productionize LLMs powered applications and AI-agents. Youll partner closely with Product and Engineering to turn open-ended data-security challenges into measurable experiments and shipped features. Youll own the end-to-end lifecycle - from problem framing and data strategy to evaluation, deployment, and ongoing monitoring - helping customers discover, protect, and govern their data at scale.



What Youll Do

Responsible for the end-to-end research process. This includes identifying problems, preparing data, tuning and developing models, deploying to production, and analyzing outcomes.
You will be a hands-on domain leader, laying the foundations of our data science workflows and algorithms. This is an excellent opportunity to work with endless amounts of data and creatively generate insights that will increase the ability to classify tons of data.
Develop, evaluate, and maintain deep learning and NLP solutions to enhance core capabilities in sensitive data classification.
Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems
Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification.
Join a full stack AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise.

We are looking for
For our Aerospace Division site in Haifa, we are looking for an Architect with extensive experience in signal processing and 3D imaging to join a multidisciplinary systems and algorithms group developing an innovative and groundbreaking Imaging Radar solution for airborne platforms
This is a unique opportunity to be part of the development of advanced defense technologies, work on complex multidisciplinary systems, and contribute to cutting-edge radar imaging capabilities with real operational impact
In this role you will
Develop and implement advanced radar signal processing algorithms and 3D image reconstruction capabilities
Define, execute, and analyze laboratory, field, and flight experiments
Analyze data and derive conclusions for implementation within the product
Develop and operate dedicated simulation tools for algorithmic research
Integrate complex systems
Work within a multidisciplinary team environment
Collaborate closely with technical management, mechanics, software, hardware, operational research, system engineering, and product management teams.