דרושים » הנדסה » Senior Software Architect, Advanced Development

We are seeking a highly skilled and motivated Senior Director of Software Development Tools to lead a team of approximately 50 engineers delivering high‑performance development tools for advanced AI and Wireless platforms. In this role, you will provide strong technical and organizational leadership, guide the team through complex engineering challenges, and build an efficient organization that enables fast, reliable delivery of production‑quality tools.
You will work closely with business units and customers to understand their needs and constraints, support ongoing development efforts, and help drive the evolution of innovative tooling solutions. Our development tools increasingly incorporate AI‑Agentic workflows, where software agents contribute to analysis, optimization, and coordination across the development lifecycle, while operating within structured and well‑governed systems.
Key Responsibilities
Leadership & Execution
Lead and manage a multidisciplinary organization of ~50 engineers delivering mission‑critical development tools.
Provide clear direction and guidance to ensure high engineering standards, effective problem‑solving, and on‑time delivery.
Establish and continuously improve organizational structures, development processes, and execution practices to support efficiency and scalability.
AI‑Agentic Development Tooling
Guide the development of tools that incorporate AI‑Agentic flows, where agents support and orchestrate parts of the development process such as compilation, debugging, simulation, and analysis.
Ensure agent‑based capabilities are designed with clear boundaries, traceability, and validation, suitable for enterprise and production environments.
Balance innovation with stability, ensuring AI‑driven components integrate smoothly into established toolchains and workflows.
High‑Performance Toolchains
Oversee the development of compilers, debuggers, simulators, and related tooling optimized for performance and accuracy.
Ensure tools enable fast and reliable modeling of complex AI accelerators and wireless systems.
Maintain focus on production requirements, including correctness, determinism, scalability, and long‑term maintainability.
Business & Customer Collaboration
Collaborate closely with business units, platform teams, and customers to understand tooling needs and priorities.
Translate requirements into clear technical roadmaps and execution plans.
Serve as a senior technical partner, ensuring alignment between engineering delivery and business objectives.
Team Development & Culture
Build, mentor, and retain a strong engineering leadership team.
Encourage collaboration, knowledge sharing, and professional growth across the organization.
Foster a culture that values engineering rigor, accountability, and continuous improvement.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

we are looking for a Software Engineer Lead.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

we are looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics Infrastructure group. If youre passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you. You will help design and develop large scale, AWS based systems that power the global CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.
How will you make an impact?
Design and implement scalable microservices using AWS technologies.
Develop high‑quality services in a Java Spring Boot environment.
Participate in the full feature lifecycle-from design to implementation.
Analyze requirements and create clear, comprehensive design documentation.
Review and refine designs with peers and stakeholders.
Collaborate closely with the team to iterate on architecture and features.
Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.

we are looking for a Lead Software Engineer.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

We are seeking a technical leader to define, craft, implement, and guide firmware architecture for reliability, availability, serviceability, and power management across next-generation Networking products and platforms. You will take a strong hands-on role, working with hardware, firmware, software, validation, customer engineering, and external partners to build robust, diagnosable, power-efficient systems for large-scale deployments.

What you'll be doing:

Define platform-level firmware architecture for RAS and power management across SoCs, accelerators, DPUs, servers, embedded systems, and data center platforms.

Own error detection, classification, containment, recovery, escalation, and reporting architecture.

Define firmware architecture for power sequencing, power states, reset flows, thermal and power fault handling, idle management, and recovery from power-related failures.

Create firmware specifications for hardware error handling, health monitoring, crash capture, telemetry, diagnostics, debug data, and field serviceability.

Define interfaces and contracts between firmware, hardware, operating systems, BMCs, management controllers, platform software, and cloud/service infrastructure.

Drive architecture reviews, tradeoff discussions, failure-mode analysis, validation strategy, and long-term RAS and power management roadmap planning.

Establish standards for error logs, event schemas, telemetry flows, recovery policies, service diagnostics, and production debug infrastructure.

Guide engineering teams through implementation, validation, silicon bring-up, platform integration, and production deployment of RAS and power management features.

Analyze customer and field failures, identify architectural gaps, and feed lessons learned into future platform designs.

We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

we are looking for a Cloud Architect.
As a Cloud Architect, you will be the visionary architecting next-generation cloud infrastructure-a resilient, scalable, and high-velocity ecosystem designed to support our intelligent, AI-powered platforms.
In this role, you will bridge the gap between complex engineering requirements and elegant cloud solutions. You will be responsible for designing sophisticated systems, pioneering DevOps excellence, and ensuring our R&D teams have the cutting-edge tools they need to deliver at pace. Youll thrive in an environment that values an automation-first mindset, where you are empowered to prototype new technologies and set the strategic direction for our global infrastructure.
How will you make an impact?
Architect Complex Systems: Design scalable, resilient cloud architectures and select the optimal technology stacks to bring them to life.
Drive Operational Excellence: Identify and execute opportunities to improve system resilience, efficiency, and the overall developer experience through aggressive automation.
Innovate & Prototype: Actively research and prototype emerging technologies that sharpen our DevOps processes and R&D delivery speed.
Technical Leadership: Lead complex build, release, and deployment initiatives, navigating dependencies across multiple stakeholders with a long-term vision.
Infrastructure as Code: Champion GitOps workflows and Infrastructure-as-Code (IaC) to ensure our production systems are secure, compliant, and highly available.
Bridge Business & Tech: Translate deep technical complexities into tangible business value, ensuring our architecture supports strategic goals.

Cardo Systems is a provider of cutting-edge communication and connectivity devices and applications for powersports and outdoor enthusiasts. In 2026, Cardo is proudly unveiling its Beyond Helmet line, the first of its kind in the motorcycle industry, fostering a new age in safety, sound, and communications. After pioneering the world’s first Bluetooth-based wireless intercom headset in 2004, Cardo has been responsible for many of the industry’s innovations, revolutionizing communication, pushing technological boundaries, and enhancing user safety. Now sold in over 100 countries, Cardo is proud to be the world’s leading communication device for groups in motion. We are seeking a highly skilled and product-oriented Mobile Developer with a strong AI-driven development mindset to join our engineering team. In this role, you will design, build, and maintain high-quality mobile applications while leveraging modern AI-assisted development tools to accelerate delivery, improve code quality, and enhance engineering efficiency. You will play a key role in shaping mobile experiences across iOS and Android platforms, working closely with cross-functional teams to deliver scalable, user-centric solutions. This position is ideal for an experienced developer who combines deep mobile engineering expertise with hands-on experience integrating AI into the software development lifecycle — from code generation and testing to debugging and optimization. Full-time position in a hybrid model (from the company’s offices in Raanana / from home). Mobile Application Development Design, develop, test, and maintain high-quality mobile applications for iOS and Android platforms. Own features end-to-end, from architecture and implementation through testing, release, and ongoing maintenance. AI-Driven Development Leverage AI-assisted development tools for code generation, refactoring, debugging, testing, documentation, and technical research. Review, validate, and enhance AI-generated code to ensure high standards of performance, security, reliability, and maintainability. Continuously explore and adopt new AI tools and workflows to improve development efficiency and product quality. Architecture & Technical Ownership Translate product and business requirements into scalable, maintainable mobile solutions. Take ownership of architectural decisions, code quality, and technical direction within the mobile domain. Contribute to code reviews, CI/CD improvements, and release processes. Integration & Product Delivery Integrate third-party APIs, backend services, and AI-powered capabilities into mobile applications. Collaborate closely with Product, Design, Backend, and QA teams to deliver high-impact features aligned with business goals. Engineering Excellence Apply best practices in software engineering, including clean code, version control, testing, and continuous integration. Ensure applications meet high standards of usability, performance, security, and reliability. Stay up to date with advancements in mobile technologies, AI developer tooling, and modern engineering practices.