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לפני 3 שעות
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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לפני 3 שעות
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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Location: Herzliya
Job Type: Full Time
Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.
Requirements:
What Makes You a Great Fit:
Minimum 6+ years of backend development experience - Must
Experience with Machine Learning - Must.
Strong expertise in Python for production systems - Must.
Proven experience in system architecture for distributed applications.
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Deep knowledge of Kafka (producers, consumers, partitioning, scaling).
Proficiency with MongoDB (schema design, indexing, aggregation).
Experience with OpenSearch/Elasticsearch (indexing, queries, performance tuning).
Solid understanding of containerization (Docker) and cloud deployment (Kubernetes or similar).
Nice-to-Have
Experience with Argo CD and GitOps workflows, and AirFlow.
Knowledge of ML lifecycle tools (MLflow, Kubeflow, TensorFlow Serving).
Observability stack: Prometheus, Grafana, OpenTelemetry.
Performance optimization and distributed systems troubleshooting.
Tech Stack
Backend: Node.js, Python, REST/GraphQL APIs
Data: MongoDB, Kafka, OpenSearch
Infra: Docker, Kubernetes, CI/CD pipelines
Bonus: Argo CD, Erlang/Elixir, ML deployment frameworks.
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
The Camera System Engineering team in Israel is looking for a system engineer directly responsible for the design of calibration, simulation and test for new camera systems. This engineer works closely with Hardware design, Algorithms, Data analysis and Operation groups to ensure the success of future our products.

Design, specification, development and deployment of camera calibration, simulation and tests.
Responsibilities include:
Develop, optimize and debug the algorithms responsible for test, calibration and image processing
Cooperate with cross functional teams to specify and implement the end-to-end test coverage
Analyze large scale factory data, and formulate critical reports of the product performance
Analyze and debug failures, and come up with Hardware and Software solutions
Requirements:
Minimum Qualifications:
MSc/PhD student in Electro-Optics, Physics, or Electrical Engineering.

Preferred Qualifications:
Creative & analytical, good at critical thinking and problem-solving.
Proficient in one or more computer languages (e.g. Matlab, Python, etc.)
Background in electro-optics is required.
Experienced in analysis of data, and communicating results in a clear and concise manner.
A reliable standout colleague that can be counted on to produce high quality results on time.
Ability to work well in a collaborative, highly cross-functional and fast paced environment.
Excellent written and verbal communication skills.
Experience in some of the following is an advantage:
Camera, computer vision, image processing.
Imaging, measurement & test systems, optical instrumentation.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are looking for a passionate software engineer to join our validation software development team. You'll have the unique opportunity to build the validation infrastructure and frameworks that kernel engineers rely on, while also validating kernel features that support our silicon and product roadmap - including memory management, concurrency, scheduling, power transitions, kernel/user boundaries, CPU tracing, and more. You'll be given the ownership and agency to influence the future direction of our products.

Successful candidates will join a multifaceted team responsible for building validation infrastructure and qualifying the latest kernel technologies on all our products, from watches to laptops, including unreleased prototypes. Our team collaborates with software development and validation teams around the world and is involved throughout the development lifecycle, from initial design until we ship to the customer.

Responsibilities:
- Designing, building, and maintaining scalable validation infrastructure, test frameworks, and CI/CD pipelines that enable kernel engineers to efficiently qualify their work across a wide array of Apple devices.
- Developing tooling and automation that improves test reliability, execution speed, and coverage reporting.
- Defining validation strategies, test plans, and testing methodologies for kernel technologies.
- Planning and developing automated test suites to validate new and existing kernel features.
- Independently managing efforts across cross-functional teams and communicating quality status to stakeholders.
Requirements:
Minimum Qualifications:
- B.Sc in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent professional experience.
- Proven experience as a QA or infrastructure software engineer with the ability to independently manage validation efforts.
- Strong skills in at least one high-level language (e.g., Python, C#, Java).
- Understanding of Unix operating systems.
- Experience building test frameworks, automation infrastructure, or CI/CD systems.
- Strong analytical, problem-solving, and debugging skills.
- Skilled in testing methodologies, test planning, and defining validation strategies.
- Strong project and time management skills.
- Excellent communication skills in English.

Preferred Qualifications:
- Strong experience with Python.
- Experience working in C/C++
- Experience designing developer-facing tooling or internal platforms.
- Strong understanding of software development cycles.
- Experience working with Unix kernel technologies.
This position is open to all candidates.
 
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לפני 3 שעות
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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05/04/2026
Location: Herzliya
Job Type: Full Time
We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.
Requirements:
In order to set you up for success as a Machine Learning Engineer at our company, were looking for the following skills and experience.
Essential
Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.
Desirable
Reinforcement learning experience (especially where it materially improved real-world performance).
Experience with end-to-end driving models and / or transformer networks
Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
Experience with a Pytorch lightning training infrastructure.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
In the Hybrid Cloud, Zerto drives the innovation agenda and technology roadmap for cutting-edge solutions in data lifecycle management, cyber resilience, replication, ransomware recovery, and seamless migrations. Our mission is to empower businesses with advanced hybrid cloud technologies that ensure data resilience, business continuity, and operational efficiency. With a focus on delivering state-of-the-art solutions, Zerto helps organizations protect, manage, and optimize their data across its entire lifecycle while maintaining robust defenses against evolving cyber threats. By working with customers, we help them reimagine their disaster recovery and data protection strategies, ensuring they achieve their business goals with confidence. Join us to redefine whats next in the hybrid cloud, data protection, and cyber resilience-and for yourself.

Roles and Responsibilities

Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products.
Drive performance optimization, and efficient memory management.
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues.
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction.
Explore and implement new methodologies fostering continuous improvement and innovation.
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions.
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team.
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability.
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture.
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset.
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains.
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices.
Requirements:
Qualifications:
Bachelors degree in Computer Engineering, Electronics, or Electrical Engineering.
Masters or PhD in a relevant domain is highly desirable.
10+ years of experience in product R&D within the computer/system software industry, focusing on kernel and driver development.

Knowledge and Skills:
In-depth working knowledge and Hands-on experience in I/O subsystems, programming, and kernel development.
Expertise in C and C++ programming languages.
Strong understanding of operating system internals and kernel & driver internals, including memory management, threading, and resource scheduling.
Proven expertise in debugging, kernel triaging, and resolving memory and performance-related issues.
Proficient in performance profiling, multithreading, and driver programming.
Strong Knowledge in Linux and virtualization technologies such as VMware, Hyper-v and KVM.
Ability to Design and implement scalable, efficient solutions for complex datapath and kernel challenges.
Strong ability to innovate and bring fresh approaches to technical challenges.
Excellent problem-solving skills with a proactive mindset and sharp analytical abilities.
Exceptional communication skills to effectively present and discuss technical designs, proposals, and solutions with senior management and stakeholders.
Demonstrated technical leadership with a focus on driving innovation.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).
This position is open to all candidates.
 
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24/03/2026
Location: Herzliya
Job Type: Full Time
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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לפני 4 שעות
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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