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

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of our NAS team. The selected candidate will be part of a professional team that develops in C ++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:

* Design, develop, and maintain SW components for NAS, including file system management.
* Implement & optimize network file-sharing protocols (NFSv3/4, SMB/CIFS, S3).
* Troubleshoot and resolve complex issues related to performance, data integrity, and reliability through clustered env.
* Collaborate with QA, PM and other RnD groups (Core, UI /CLI, mgmt API, platform/HW).
* Write clean, well-tested, maintainable code and participate in code reviews.
* Improve code quality ( Python suites, code coverage, static analysis, memory leak detection).
* Contribute to system architecture decisions, especially around scalability, high availability, and fault tolerance.
* Monitor and improve system performance under high I/O and concurrent access conditions.
* Document technical designs, APIs, and operational procedures.

Nuvoton Israel is a leading supplier of custom SoC and security hardware solutions for the computing and server markets. We are looking for a motivated Software Engineer to join the CAD team at Nuvoton and grow with us over the long term. As a CAD Developer, you will participate in Physical Layout Verification (DRC/LVS/ERC) of semiconductor chips and develop and maintain in-house CAD infrastructure and automation tools used by engineering teams.

Required Senior Mobile Developer (Flutter)
Herzliya, IL
About the role:
Finonex is a long-standing, stable trading-platform company, delivering advanced online trading technology to global partners for over a decade.
Join our Mobile R&D team and help build high-scale mobile trading applications used by customers worldwide.
As a Senior Flutter Developer, you will design, develop, and maintain cross-platform mobile applications while contributing to architecture, performance, and engineering best practices in a fast-paced fintech environment.
In this role you will:
Develop and maintain Flutter applications for Android and iOS.
Contribute to architecture, scalability, performance, and code quality initiatives.
Build and integrate REST APIs, WebSockets, and third-party SDKs.
Collaborate with Product, Design, Backend, QA, and DevOps teams.
Support release processes, deployments, and production troubleshooting.
Improve application stability, performance, and user experience.
Mentor team members and participate in code reviews.

We are looking for an experienced and hands-on QA Lead to establish and lead the Quality Assurance function for an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a unique opportunity to build the QA function from the ground up while taking ownership of quality across a complex and evolving software platform.

The role combines hands-on testing, test automation, quality strategy, process definition, and close collaboration with Software Engineering, AI, and DevOps teams.

Initially, you will be the primary QA professional within the organization, responsible for defining methodologies, building testing capabilities, and ensuring high product quality. As the organization grows, you will have the opportunity to expand and lead a small QA team.

Job Responsibilities
Establish and lead the QA function across the organization's software products.
Define and implement QA methodologies, standards, processes, and best practices.
Create and maintain test strategies, test plans, test cases, and quality metrics.
Design, develop, and maintain automated test frameworks and automated test suites.
Perform hands-on manual and automated testing across software releases.
Validate functionality across Cloud, Edge, and AI-enabled system components.
Test web-based user interfaces, backend services, APIs, and system integrations.
Collaborate closely with Software Engineers, AI and Data Science teams, and DevOps engineers to ensure product quality throughout the development lifecycle.
Define and implement quality gates for software releases.
Identify, document, track, and help resolve software defects.
Drive continuous improvements in software quality, testing coverage, and release confidence.
Contribute to performance and scalability testing initiatives as the platform evolves.
Help build and grow the QA organization over time.

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.

Description
As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!.

We're seeking a passionate and skilled experienced Networking Embedded Firmware Engineer to play a pivotal role in delivering the next generation of our silicon. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of our future products by ensuring our silicon meets the highest standards.

We are looking for exceptionally diverse software developers for a leading team to design and develop our flagship product.
What you'll do:
Collaborate with cross-functional teams to deliver high-quality, secure, and scalable solutions
Stay up-to-date with the latest mobile technologies and industry trends
Design and develop a cutting-edge product, with significant impact and importance
Work closely with exceptional people in our field.

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.

Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models.
Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets.
Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models.
Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols.
Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots.
Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.

As a Data Engineer , you will own the data lifecycle for Physical AI and humanoid robotics: the pipelines and systems that move data from the moment it is captured to the moment it trains a model.
You will design and scale the pipelines that convert large volumes of simulation and real-robot recordings into state-of-the-art datasets - handling extraction, transformation, feature schemas, statistics, and video at scale. You will build the curation systems that generate and select high-quality training data, and the release tooling that produces versioned datasets.
You will work with various reinforcement learning and computer vision algorithms which generate realistic simulation data for humanoid robotics tasks.
You will build robust, production-grade systems that bridge data producers and consumers, accelerate dataset iteration, and make every dataset that reaches a model trustworthy, reproducible, and traceable to its source.

Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics.
Drive architectural decisions around scalability, reliability, performance, and observability.
Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company.
Foster a culture of technical innovation, engineering excellence, and personal accountability.

Architect a Centralized Platform: Design and develop a comprehensive, multi-purpose application that serves as the central hub for the company's robotic operations, fleet management, and performance analytics.
Develop Robot Control Interfaces: Build real-time control systems that allow engineers and operators to securely connect to the robots, visualize live sensory data, and directly command robot functionality via tele-operation.
Cross-Functional Integration: Collaborate closely with our AI, simulation, and hardware teams to ensure seamless data flow and integration between the physical robots, backend infrastructure, and user interfaces.

we are looking for a Senior Software Engineer - C/C++
Responsibilities
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.