לוח משרות דרושים הייטק תוכנה בהרצליה, לחיפוש זה נמצאו 204 משרות

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Key Responsibilities

Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Help establish ROI models and best practices for new AI-driven processes across the company.

We are looking for an ambitious, highly capable Full-Stack Software Engineer who leverages cutting-edge AI tools to multiply their productivity and own cloud features completely end-to-end, from initial design and architecture down to deployment, testing, and production support.

Were looking for cutting edge smart & capable engineers who can harness AI and can lead sophisticated projects from the requirement and design phases down to implementation, test and production delivery.

Key Responsibilities

End-to-End Feature Ownership: Own cloud features complete end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support.
AI-Accelerated Development: Efficiently utilize advanced AI coding assistants and AI-driven workflows (e.g., Claude Code, Cursor, LLM-driven test generation) to design, code, debug, and deliver robust software at high velocity.
Frontend & Backend Engineering: Build and maintain scalable APIs and responsive, intuitive user interfaces (React, Go / Node.js).
Database & Infrastructure: Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance.
Quality & Automated Testing: Design, write, and execute comprehensive test suites (unit, integration, and E2E) to keep software stable and functional.
Production Support & Reliability: Participate in monitoring, troubleshooting, and supporting your delivered features in cloud environments.
Product & UX Collaboration: Work closely with Product and UX teams to rapidly turn concepts into seamless, user-friendly customer experiences.

We're looking for a hands-on Senior Solution Architect to lead our Pre-Sales and Proof-of-Concept work. You'll be the technical authority prospects trust when they're deciding whether to bet their most critical workloads on us and you'll thrive on the pace and ownership that come with a fast-growing company.

Key Responsibilities
Win the technical case. Partner with our sales organization to demonstrate our value to prospects and drive adoption. You'll own the "technical win" on every opportunity you touch.
Get prospects to production. Provide technical review and recommendations for deploying us in production environments, and help prospects set up, tune, and benchmark the database during Proof-of-Concept phases.
Build and document solutions. Design our solutions and capture them in clear documentation - including integration guides and benchmarks of third-party tools working alongside our products.
Teach the technology. Develop training materials for our customers, and create and deliver training that helps users get the most out of the platform.
Connect the dots. Collaborate closely with other Solution Architects, and act as the bridge between customers and our product management and engineering teams - carrying real-world feedback back to the people building the product.

our company is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 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
The IoE group specializes in making our devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems - cloud, mobile, and other on-site controllers - deployed across millions of devices worldwide.
Country:
Israel
City:
Herzliya

We are seeking a talented and versatile Senior Threat Detection Engineer to work with us in Herzliya with expertise in iOS and Android security. As a key member of our engineering team, you will play a crucial role in designing and developing complex compromise detection solutions and providing advanced professional services to customers.

Responsibilities:
Design and develop mobile focused on-device and off-device malware and compromise detection solutions that enable forensic analysis, including infrastructure, features, classification logic, tools, proof of concepts, heuristics and signatures for Android and iOS devices.
Represent the Company in front of customers by providing advanced professional services including malware and indicator of compromise analysis, as well as professional training sessions.
Develop and implement components and features using C, C++, Python, JavaScript, Go, Rust and other programming languages as needed, while employing secure coding practices and ensuring optimal performance, responsiveness, and cross-platform compatibility in line with product specifications.
Represent the company in front of potential customers and partners by conducting technical demonstrations, participating in meetings and other pre and post sales engagements.
The position may require local and international travel.

We are looking for a highly skilled and detail-oriented Mobile Device Security QA Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and scaling comprehensive quality assurance strategies for our cutting-edge security product for iOS and Android mobile devices. You will drive both automated and physical testing efforts to ensure our platform meets the highest standards of security, performance, and reliability.

Responsibilities:
Performance & Usability Testing: Use relevant tools and frameworks to assess performance (e.g., loading times) and provide feedback on UI/UX issues for improved user experience.
Physical & Manual Testing: Conduct and oversee hands-on physical testing of mobile devices, ensuring that manual and automated tests accurately validate qualification features.
Test Strategy & Planning: Develop comprehensive test plans, test cases, and tailored test scripts for Android and iOS systems and applications.
Automation Development: Design and implement scalable, automated testing frameworks to simulate real-world scenarios across diverse mobile devices. Create automated scripts for regression, smoke, and feature testing.
CI/CD Integration: Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines to support rapid, reliable releases. Monitor builds, troubleshoot integration issues, and optimize test suites.
Documentation & Reporting: Maintain detailed documentation of testing processes, results, and improvement recommendations.

We are seeking a talented and versatile Threat Detection Engineer to work with us in Herzliya with expertise in iOS and Android security. As a key member of our engineering team, you will play a crucial role in designing and developing complex compromise detection solutions and providing advanced professional services to customers.

Responsibilities:
Design and develop mobile focused on-device and off-device malware and compromise detection solutions that enable forensic analysis, including infrastructure, features, classification logic, tools, proof of concepts, heuristics and signatures for Android and iOS devices.
Represent the Company in front of customers by providing advanced professional services including malware and indicator of compromise analysis, as well as professional training sessions.
Develop and implement components and features using C, C++, Python, JavaScript, Go, Rust and other programming languages as needed, while employing secure coding practices and ensuring optimal performance, responsiveness, and cross-platform compatibility in line with product specifications.
Represent the company in front of potential customers and partners by conducting technical demonstrations, participating in meetings and other pre and post sales engagements.
The position may require local and international travel.

Required rt SW Developer

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With our Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.

Responsibilities may include the following and other duties may be assigned:
Designing and executing SW verification activities: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Automation and continuous improvement: Contribute to the development and expansion of automated testing solutions. Continuously look for ways to improve test efficiency, coverage, and reliability by adopting new tools, scripting approaches, and creative testing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

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

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

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

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


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

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

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

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

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

The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.


Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.

The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.


Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.