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Location: Herzliya
Job Type: Full Time
In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.
Requirements:
Minimum Qualifications
M.Sc/Ph.D in Electrical Engineering, Computer Engineering, or related discipline.
5+ years of experience and proficiency in ML.
Expertise in optimization algorithms with using machine learning and GenAI algorithms, or adaptive control systems.
Proficiency in algorithm development using MATLAB, Python, or similar tools.
Knowledge in wireless protocols: WLAN (IEEE 802.11), Bluetooth, Cellular.

Preferred Qualifications:
Experience with rate adaptation, link adaptation, or similar adaptive algorithms.
Experience with C/C++.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are seeking a Machine Learning expert to join our wireless FW software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design, validation, and performance optimization. The position emphasizes experimental research, algorithm development, and proof-of-concept implementations in the wireless FW domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
Responsibilities:
Research & Development: Design, develop, and evaluate machine learning algorithms optimized for real-time wireless communication systems operating under strict real-time, power and computational constraints.
Protocol Innovation: Create novel wireless protocols that intelligently incorporate ML techniques for enhanced performance, efficiency, and adaptability.
Algorithm Optimization: Adapt existing wireless algorithms (e.g. Link Quality, QoS, Scheduling etc) by integrating ML approaches while maintaining real-time performance requirements.
Data Collection & Analysis: Gather, analyze, and curate statistics from existing wireless devices and networks to enable ML model training and validation. Design and implement data collection frameworks for various wireless environments and use cases.
System Integration: Develop lightweight ML models suitable for deployment on resource-constrained wireless devices, including edge computing scenarios.
Performance Analysis: Conduct comprehensive performance evaluations through simulation, theoretical analysis, and experimental validation.
Research Publication: Publish findings in top-tier conferences and journals, and present research at industry conferences.
Collaboration: Work closely with hardware engineers, system architects, and product teams to ensure research translates into practical solutions.
Technology Scouting: Stay current with emerging trends in ML, wireless communications, and edge computing technologies.
Requirements:
Minimum Qualifications
Minimum: Master's degree (MSc) in one of the following fields: Computer Science or Mathematics with specialization in Machine Learning, Signal Processing and Telecommunications Engineering.
Real-time Systems: Experience in real-time computing constraints and low-latency system design.
Machine Learning: Deep understanding of ML algorithms, particularly those suitable for real-time applications (online learning, federated learning, reinforcement learning, neural networks).
Wireless Communications: Strong foundation in wireless communication principles, protocols.
Programming: Proficiency in Embedded C, Python, MATLAB, C++, and ML frameworks.
Optimization: Experience with convex optimization, resource allocation algorithms, and constraint satisfaction problems.
Research Experience: Demonstrated track record of independent research through publications, patents, or significant project contributions.
Knowledge of edge computing and distributed ML systems is advantageous.
Personal Attributes: Self-Motivated: Ability to work independently, set research priorities, and drive projects from conception to completion.
Analytical Thinking: Strong problem-solving skills with ability to tackle complex, multi-disciplinary challenges.
Innovation-Oriented: Creative approach to research with ability to think outside conventional boundaries.
Communication Skills: Excellent written and verbal communication skills for technical documentation and presentations.
Collaborative Spirit: Ability to work effectively in cross-functional teams while maintaining independent research focus.

Preferred Qualifications
Ph.D. in related field.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya and Haifa
Job Type: Full Time
We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment. As a Wireless MAC System Architect, you will be a core member of our highly innovative and visible Wireless System-on-Chip (SoC) design team that defines modem architectures, develops MAC-layer algorithms, and invents embedded DSP algorithms for chips enabling exciting new wireless applications. You will be responsible for developing state-of-the-art wireless SoC products that are enjoyed by millions of our customers. Application areas include ultra-wideband sensing and specialized wireless audio; products enabled or improved by our teams SoCs include specialized audio headsets (such as AirPods), watches and iPhones.

In this role you will be responsible for the architecture of the Connectivity IP with focus on the MAC sub-system: - Define, document and Spec Connectivity MAC architecture and performance requirements.
- Analyze & simulate the performance of the Connectivity IP in real-life use-cases, achieving benchmarking performances in several metrics, including Throughput, Robustness, Co-existence with other Wireless IPs and more.
- Working closely with other architects (PHY, Power Management, FW and SW) to introduce best in class Connectivity IP solution.
- Develop innovative system architectures and protocols to deliver best-in-class performance for the MAC subsystem of custom wireless silicon solutions.
- Introduce cross-domain features where opportunities exist for innovation to achieve enhanced performance.
- Produce MAC architecture, specifications and corresponding performance/reference modeling in support of digital HW and FW design and verification efforts.
- Develop and maintain a MAC systems infrastructure applying the best methodologies for system-level simulation, pre-silicon prototyping (including emulation and FPGA prototyping), FW QA, regression and MTBF testing, and system verification to ensure first-time design success.
- Support the delivery of new wireless technologies to the Product Systems teams.
Requirements:
Minimum Qualifications
At least 7 years of industry experience in Wireless MAC HW architecture / MAC design micro-architecture.
Extensive technical background in one or more of the following:
MAC system engineering, including familiarity with media access protocols and related industry standards.
Wireless MAC standards, such as those found in IEEE 802.11, 802.15, Bluetooth or 3GPP.
Communications systems, including familiarity with Radio and PHY layer concepts.
HW / SW partitioning and the related tradeoffs, including how to balance those for optimal power consumption, die area, flexibility, etc.
Firmware development principles and methods, including FW regression testing, QA, and protocol interoperability testing.
SoC development, low-power design and implementation, and digital architecture fundamentals.
Excellent organizational skills.
Excellent communication skills - both written and oral.

Preferred Qualifications
B.Sc/ M.Sc in Electrical or Computer Engineering or Computer Science or related field.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
As a Wireless Firmware Architect you will focus on defining technical direction, conducting research and analysis, and providing architectural guidance for our Bluetooth embedded solutions.

The position emphasizes wireless protocol design and simulations, software architecture definition, technical planning, proof-of-concept development and performance optimizations.

Responsibilities:
Define comprehensive software architecture for our Bluetooth embedded solutions.
Establish firmware architectural guidelines and principles.
Support development teams with architectural guidance and consultation.
Integrate performance and power analysis requirements into architectural frameworks.
Create technical demonstrations to support architectural decision-making.
Monitor and analyze hardware implementations to ensure alignment with software architectural requirements.
Evaluate hardware design decisions and their impact on firmware architecture.
Collaborate with hardware teams to provide architectural input and recommendations.
Design and develop proof of concept (PoC) projects to validate architectural approaches.
Research and prototype emerging wireless technologies and methodologies.
Evaluate feasibility of new technologies and integration approaches.
Design and develop wireless protocol simulation frameworks, develop intelligent simulation environments for protocol validation and optimization.
Analyze new standards and specifications for architectural implications.
Track industry trends and emerging wireless technologies.
Requirements:
Minimum Qualifications:
Minimum: Bachelor's degree in Electrical Engineering or Computer Science.
Wireless Systems: 8+ years of experience in wireless communication systems design, with deep understanding of multiple wireless standards (WiFi, Cellular, Bluetooth, Zigbee, etc.).
Software Architecture: Proven track record of architecting large-scale, complex software systems with emphasis on real-time and embedded systems.
Protocol Development: Extensive experience with wireless protocol design, implementation, and optimization.
System Integration: Expert knowledge of hardware-software co-design and system-level optimization techniques.
Programming Proficiency: Strong skills in C/C++, Python, and system-level programming languages.
Performance Engineering: Experience with real-time systems, multi-threading, and performance optimization techniques.
Architectural Leadership: Demonstrated ability to lead architectural decisions and influence technical direction across multiple teams.
Communication Excellence: Outstanding written and verbal communication skills with ability to present complex technical concepts to diverse audiences.
Self-Motivated: Exceptional ability to work independently and drive initiatives.
Systems Thinking: Ability to see the big picture while understanding intricate technical details.

Preferred Qualifications:
Master's degree (MSc) in Electrical Engineering, Computer Science, or related field.
Ph.D. in relevant field is advantageous.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
As a key member of our team, you will be responsible for the selection, development, and seamless integration of FPGAs that implement critical functionality on our prototypes. Your work will span a wide range of applications, from crafting low-level hardware control and status for embedded systems and high-speed links, to integrating high-level IP blocks and developing custom hardware-accelerated algorithms and filters. You will leverage your strong foundation in digital design and communications, working with micro-controllers, microprocessors (ARM), and various peripheral interfaces (I2C, SPI, high-speed serial interfaces), and industry-standard protocols (PCI Express, USB, Ethernet). This role requires significant hands-on experience with board bring-up and debug of complex digital hardware.
Requirements:
Minimum Qualifications
3+ years in digital design and embedded systems development.
Expertise in Verilog/SystemVerilog RTL and extensive experience with large-scale FPGA development (Xilinx/Altera), including full build flows and timing closure.
Strong hands-on lab debug skills, utilizing FPGA debug tools (e.g., ChipScope, SignalTap) and lab equipment (oscilloscopes, logic analyzers).
Experience with RTL/gate-level simulation and verification methodologies, as well as debugging silicon and PCB issues.
Excellent communication skills and a desire to take on diverse technical challenges.
BSc or MSc in Electrical Engineering or Computer Engineering.

Preferred Qualifications
Familiarity with HAPS platform and tool flow.
ASIC Design/Verification experience.
Good Knowledge of FPGA backend flow
Good knowledge of FPGA STA
Proficiency in scripting (Python, TCL, Makefile) and C/C++
This position is open to all candidates.
 
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12/04/2026
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Software Engineer specializing in ML systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.
Requirements:
B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university
5+ years of hands-on experience building and deploying large-scale deep learning systems in production
Advanced proficiency in PyTorch/TensorFlo
Preferred Qualifications :
M.Sc. or Ph.D. in a relevant quantitative field - Advantage
Proficiency in Python/C/C++
Deep, working knowledge of PyTorch internals
Strong experience in several of the following areas:
Performance profiling and optimization of deep learning workloa
Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs)
Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.)
Training and scaling state-of-the-art vision, language, or diffusion models
Implementing custom CUDA/Triton kernels
This position is open to all candidates.
 
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29/04/2026
Location: Herzliya
Job Type: Full Time
Power the Future with us! We are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive.
Joining the Analog ASIC group means more than designing components - its your chance to shape and influence the entire system through system -level innovation and end-to-end ownership, from specification to real-world implementation. Our Analog ASIC group leads chip development at the core of our products. We collaborate closely with system, software, and hardware teams to ensure complete optimization across the entire process. We are seeking a passionate, Senior Analog Engineer to join our team. In this role, you will be responsible for designing and developing complex analog and mixed-signal ICs for our cutting-edge products in the renewable energy sector.
What will you be doing:
* Architecture planning using behavioral models for simulation of analog and mixed-signal circuits.
* Design, implement and verify circuits & systems to meet product requirements including schematic entry, simulation, layout and supervision.
* Verification of analog and mixed-signal sub-systems and the entire design using transistor-level.
* Validation of design by laboratory measurement.
* Support product engineering to meet manufacturing and production needs.

Country:
Israel
City:
Herzliya
Requirements:
* B.Sc./M.Sc. in Electrical Engineering from a recognized university.
* Over 6 years of experience in analog or mixed-signal design, simulation, and characterization of circuits such as operational amplifiers, comparators, reference circuits, ADC/DAC, PLL, etc. It would be an advantage if you have:
* Strong knowledge of MOS, Bipolar transistors, and high-voltage IC processes (e.g., BCD, SOI).
* Experience with integrated power electronic circuits such as DC-DC converters, gate drivers, charge pumps, rectifiers, and LDOs.
* Experience in full-chip integration, including interfaces with digital and hardware.
* Familiarity with layout verification and extraction tools.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
As a Software Engineer on our team, you'll architect and build high-performance backend systems that operate at the scale and precision demanded by our most advanced hardware platforms. Your work will directly shape how engineers, developers, and users around the world interact with complex hardware - making the powerful feel effortless.

You'll also be at the forefront of integrating AI-powered tools into our internal macOS applications, bringing intelligent capabilities to the people who build our next generation of products.

Design, implement, and optimize high-performance backend systems that manage the scale and complexity of advanced hardware.
Build and integrate AI-driven features into internal macOS native applications.
Abstract intricate hardware behaviors into clean, developer-friendly interfaces and APIs.
Work closely with external SW Engineers vendors, aligning on technical requirements and integration strategies.
Collaborate with a globally distributed team of engineers, designers, and end users to deliver impactful solutions.
Own the full development lifecycle - from architecture and design through implementation, testing, and deployment.
Contribute across a modern tech stack: Swift, C++, and Python.
Requirements:
Minimum Qualifications
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.
Strong foundation in systems programming and a passion for performance optimization.
Proficiency in one or more of: Swift, C++, Python - curiosity to grow across all three.
Ability to communicate complex technical concepts clearly to diverse audiences - from vendors to global end users.
A problem-solver's mindset: you find clarity in complexity and elegance in solutions.

Preferred Qualifications
Experience or genuine interest in AI/ML integration in software products is a strong plus.
This position is open to all candidates.
 
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14/05/2026
Location: Herzliya
Job Type: Full Time
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8651740
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חברה חסויה
Location: Herzliya and Haifa
Job Type: Full Time
Develop and maintain internal EDA tools and frameworks for RTL assembly and connectivity checking.
Implement efficient algorithms for hierarchical RTL construction, module binding, and interface consistency across complex SoCs.
Build intelligent connectivity, visualization, and debug utilities.
Collaborate with front-end design, DFT, and integration teams to align methodologies and define tool requirements.
Drive automation and performance improvements, including runtime optimization and scalability across large designs.
Support adoption, documentation, and user training for internal design teams.
Requirements:
Minimum Qualifications
BSc/MSc in Electrical Engineering, Computer Engineering, or Computer Science.
3+ years of experience in FE design or integration.

Preferred Qualifications
Good programming skills in Python and C/C++.
Solid understanding of RTL design (Verilog/SystemVerilog) and SoC integration concepts.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8629522
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