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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 Host and Systems Performance Manager to join ur Networking Performance team!

In this role, you will lead a team of engineers who measure, analyze, and improve NIC, host, DOCA networking stack, and system-level performance across our networking products and platforms. We work across the full product lifecycle, from early architecture and pre-silicon modeling through post-silicon bring-up, validation, characterization, and GA readiness.

We are looking for someone who enjoys building teams, turning complex performance data into clear direction, and partnering across engineering groups to improve products that support AI, HPC, cloud, and accelerated networking workloads.

What Youll Be Doing:
Lead, coach, and develop a team focused on NIC, host, DOCA networking stack, and system-level performance. You will define performance test plans, methodologies, metrics, and success criteria for our new networking technologies.
Guide pre-silicon and post-silicon performance planning, analysis, reporting, and readiness reviews. Your team will benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, DOCA, storage, security, and host networking stacks.
Identify bottlenecks across NIC, DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, DOCA, and full-system architecture. We will look to you to lead root-cause analysis, coordinate mitigation plans, and help hardware, firmware, software, architecture, validation, and product teams align on performance goals.

What youll be doing:
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.
Work on impactful projects involving state-of-the-art high-performance computing hardware and software.
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.
Collaborate with our partners and customers.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance.

If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Analyze and model our AI and High Performance Computing offerings, deep dive into network behavior for training and inference and generate insights to directly impact the architecture of next-generations of AI systems. Conduct advanced network modeling, research and optimization using innovative simulation tools.

Implement modeling of advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Actively develop the simulator software solution while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

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 are looking for a talented and experienced Firmware Architect to join our Network Adapter Firmware team in Yokneam.

As part of our technical leadership team, you will define the firmware architecture for next-generation networking devices and drive design of innovative technologies powering the world biggest AI Platforms, cloud computing, HPC, storage, and automotive platforms.

The Network Firmware team develops cutting-edge firmware that enables the world's largest cloud providers and enterprises to deliver high-performance, reliable, and secure networking solutions. Working alongside exceptional engineers across the globe, you'll thrive in a dynamic, collaborative, and fast-paced environment while solving some of the industry's most challenging technical problems.

What you'll be doing:
Collaborate closely with Hardware, Software, and System Architecture teams to define end-to-end solutions.
Define the firmware architecture for new products and features at the core of our NIC firmware.
Lead the design and implementation of strategic technologies, including functional safety, security, and next-generation networking capabilities.
Mentor and technically guide R&D engineers throughout architecture, design, and implementation.
Drive technical direction across multiple teams while ensuring scalable, maintainable, and high-quality firmware architecture.

The System product engineer is responsible for stabilizing hardware products from the first build unit through ramp-up and transition to high-volume mass production. This role plays a critical part in ensuring product quality, yield, and test robustness for our cutting-edge platforms by leading debug infrastructure development, systematic failure analysis, and data-driven continuous improvement across the NPI lifecycle.

What you'll be doing:

Own end-to-end product stabilization from first article to production release.

Develop and maintain hardware debug infrastructures, tools, and methodologies to support efficient root cause analysis.

Monitor, analyze, and improve yield performance during NPI.

Perform deep-dive failure analysis and root cause investigations to improve product robustness, quality, and throughput.

Improve test stability, coverage, and repeatability while reducing false failures.

Collaborate closely with Mechanical NPI engineers, Test Development teams, R&D, and manufacturing partners.

Apply data analysis techniques to identify systemic issues, trends, and optimization opportunities.

We are seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery-shaping the future of AI networking and infrastructure.

What you will be doing:
Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
Act as a thought leader and industry influencer-engaging directly with customers, publishing technical content, and representing us at key conferences and forums.
Define and execute a bold architectural vision for our networking in close collaboration with cross-functional software and hardware leaders.

We are seeking a highly motivated and experienced System Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight

responsibilities:

Lead the development of innovative and complex airborne systems
Develop system requirements that meet customer requirements and product definitions provided by other departments
Facilitate PMO on developing integration plans identifying timelines, resources and equipment requirements to integrate engineering designs into higher level products
Define and lead system level test plans to validate that the engineering designs meet requirements
Collaborate with the R&D and Line of Business managers to ensure timely project delivery
Work as an integral part of the Engineering team in the development of new products and supporting existing products
Define and lead experiments, tests and studies, and/or analytical investigations and provide clear and meaningful results and analysis
Compile and assist in the presentation of test data collected during design validations to a peer group of engineers
Work in collaboration with a multi-disciplined engineering team to develop engineering designs/solutions from initial POC to onsite customer implementations
Contribute to documentation for use in the manufacture, installation, technical support and training related to the final design
Support engineering products through entire life cycle including; assist in installation at customer site, assist in product upgrades and improvements, support of service escalations and product EOL
Oversee technical management of sub-contractors

We are seeking a skilled and experienced UAS Operator and Instructor to join our growing team. In this role, you will be a key contributor, responsible for training, technical support, and operational execution related to our UAS (Unmanned Aircraft Systems) products.

Responsibilities:

Lead independent training sessions for internal and external customers on new UAS equipment.
Provide technical support to customers.
Conduct demonstrations and participate in sales events.
Actively participate in field testing operations.
Occasionally assist Lab Technicians during flight testing operations, with a focus on UAS maintenance and quality control.

We are looking for an experienced system engineer to participate and lead the development of a radio-based drone detection and mitigation system as part of the company products.
Responsibilities:
Lead features and platforms from ideas to releases.
Guide and participate in the research and analysis of both proprietary and standard radio communication
protocols.
Develop and optimize algorithms for scanning, signal separation, antenna selection, etc.
Define requirements and guide other multi-disciplinary teams (SW, Modem algorithms, DSP, and FPGA) through
implementation and debugging.
Analyze and define complex system behaviors, state machines, algorithms, and event-response logic, including
radio link budget considerations.
Perform independent, hands-on debugging and optimization for system problem-solving using tools like
MATLAB, Python, Excel, and other log analysis software.
Gain a deep understanding of the full system to guide and support development, testing and validation teams.

Required Radar & Cyber System Engineer
Scope:
As a Systems Engineer, you will bridge the gap between high-level concepts and real-world execution. You will lead multi-system features from initial idea to release, acting as the key integrator across multiple internal systems developed by our various R&D teams, while also bridging the technical gap with external vendors to bring our unified technology to life in the field.
Key Responsibilities:
Lead complex, multi-system features and platforms from initial concept through design, implementation, and release.
Analyse, define, and debug complex system behaviours, state machines, algorithms, and event-response logic (including radio link budget considerations).
Define requirements and guide multi-disciplinary teams-spanning both our internal engineering groups (SW, HW, Modem, DSP, FPGA) and external vendors-through implementation, debugging, and integration.
Lead the integration of internal subsystems and optimize the integration of external vendor technologies.
Perform independent, hands-on debugging using Python or Matlab and log analysis tools.
Actively participate in, guide, and lead lab and field testing, validation, and system optimization both in the lab and in outdoor environments.

We are seeking a talented, high-speed board design expert to own the detailed implementation and industrialization of our next-generation Counter-UAS (C-UAS) processing units.
As we scale to a complex, multi-product ecosystem featuring deep multi-sensor fusion, you will actively participate in shaping digital hardware architectures while leading the hands-on engineering from schematic design to mass production.
This position demands deep expertise in complex, multi-layer carrier board design specifically utilizing Intel processors and COM Express (COMe) architectures, as well as robust simulation and production methodologies.
Key Responsibilities:
Hardware Design Execution: Own the full lifecycle of complex digital hardware boards from schematic capture, component selection, and power distribution network (PDN) design through to high-yield mass production.
Architecture Collaboration: Actively participate in defining the digital hardware architecture, collaborating closely on modular computing strategies, baseboard optimizations, and multi-sensor integration.
Intel & COM Express Integration: Lead the detailed layout and integration of high-performance Intel processors and COM Express (COMe) form factors, managing complex, dense high-speed buses (PCIe Gen 4/5, DDR4/DDR5, 10GbE, USB4).
Simulation & Signal Integrity: Execute rigorous pre- and post-layout Signal Integrity and Power Integrity (SI/PI) simulations to guarantee precise timing margins, stable power delivery, and low-noise performance on dense, fine-pitch BGA footprints.
Production Scale-Up & DFx: Champion Design for Excellence (DFM, DFA, DFT) methodologies, boundary-scan testability, and detailed verification hardware documentation to ensure flawless transfer to manufacturing lines and eliminate field escalations.
Cross-Discipline Collaboration: Work closely with subcontractors (layout) and other R&D disciplines-including FPGA, Embedded SW, Cyber, and Mechanical engineering-to resolve interdisciplinary space, thermal, and noise constraints.