דרושים » תוכנה » Software Engineer

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.

You will:
Design and implement algorithms and software solutions for complex problems.
Develop high-quality, production-ready code in C++ and Python.
Take ownership of features and components from concept through implementation and validation.
Build prototypes, run experiments, and iterate quickly based on results.
Participate in code reviews, architecture discussions, and technical decision-making.
Document designs, trade-offs, and implementation details.

We are looking for a Windows engineer to join us in developing cutting-edge cybersecurity projects.

As a Windows engineer, you will be dealing with:
Developing user-mode applications and complex Windows Drivers.
Designing and developing components for the company's flagship security product.
Low-Level R&D.
End to End product development.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.
Key Responsibilities:
Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

In your role as a SW Engineer Storage Algorithms Group, you will assume full responsibility for the development of storage-related tools and internal applications that benefit multiple teams within the group. You will be in charge of the full development cycle, including mapping customer needs, SW architecture design, coding, deployment and ongoing support.
Description
A unique opportunity to lead a multi-faceted SW development operation that impacts a productization path of massive scale.
Responsibilities
Develop tailored tools and internal applications based on customer needs
Provide unique solutions based on a deep understanding of the SSD physical layer
Initiate innovative processes and methodologies to increase the groups efficiency
Architect and implement behavioral simulators modeling SSD components and physical-layer behavior

Would you like to learn about the inner workings of Azure Edge? Are you excited about jumping deep into various areas and composing a bigger picture? we are leading the way to extend Azure cloud services to sovereign, disconnected, edge, enterprise, and hybrid scenarios. Deploying hyperscale services into hybrid and disconnected clouds provides unique and innovative engineering challenges. If you are inspired by this cloud innovation, have the skills to secure and build production grade services, and are looking for a dynamic and collaborative team environment, come talk to us!
Responsibilities:
If you are passionate about advancing security and staying ahead of sophisticated threats, this is your opportunity. As a Software Engineer, you will:
Design, develop, and maintain security solutions for Edge and cloud environments, focusing on cryptography, keys and certificates.
Lead technical architecture and design discussions, driving innovation in secure Azure Edge technologies across Windows and Linux.
Collaborate with cross-functional teams to deliver scalable, reliable, and efficient security features for Specialized Clouds.
Mentor junior engineers, fostering a culture of excellence, collaboration, and continuous learning.
Analyze emerging security threats and implement proactive measures to protect users, devices, and cloud workloads in the edge.

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.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, 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. Responsibilities:
* End-to-End responsibility of development process: from requirements till implementation including post-release support
* Design, Development and Integration of C# based code modules
* Close work with the rest of Q&R team on mutual projects
* Software Development of automated hardware tests, drivers, protocols
* Working on new projects as well as supporting existing ones
* Production issues support and failures analysis


Country:
Israel

City:
Herzliya

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do

Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

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.