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As a QA Engineer, you will:
Lead technological projects, in system and quality aspects
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs life cycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a highly skilled and motivated Backend Enginee r with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a Backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. The Demand and supply Planner is responsible for overseeing end-to-end operations, including planning, manufacturing, optimizing inventory levels, with a strong focus on managing third-party contract manufacturing (CM) global relationships. This role ensures operational excellence, cost efficiency, and on-time delivery of products while maintaining high-quality standards and compliance.

Responsibilities:

* Lead and manage all operational aspects including supply planning and production.
* Oversee contract manufacturing partners: performance management, cost negotiation, and production planning.
* This role will be partnering with the sales teams, to ensure the demand process delivers an agreed and workable sales forecast, identifying incremental demand, ensuring gaps and overlaps are addressed, different scenarios being evaluated, and issues appropriately escalated to meet business objectives.
* Develop and implement strategies and BI tools to optimize supply chain efficiency, reduce costs, and improve service levels.
* Ensure adherence to quality, safety, and regulatory standards across all manufacturing partners Collaborate cross-functionally with R&D, Quality, Finance, and Commercial teams.
* Identify and mitigate operational risks, bottlenecks, and supply disruptions.
* Lead continuous improvement initiatives (Lean, Six Sigma, etc.).
* Manage operational budgets, KPIs, and reporting metrics.
* Support new product launches and scale-up activities with CMs.
* Evaluate and onboard new manufacturing partners as needed.

DustPhotonics is developing a cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in data centers. Silicon photonics is becoming a standard technology used for high performance systems, solving challenges of performance, integration, power and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs and other sensors. At DustPhotonics, we are looking to solve the difficult problems, in a smart and simple way, by thinking out of the box, leveraging the knowledge and know-how of the team members, and work as team to create Magic. Our Company culture is characterized by accountability for our ethics, for being fair to every employee, customer, supplier and partner. We believe we must work hard and have fun on the way to success. We welcome you to join our team - Apply for your next career opportunity with us! We are looking for a Silicon Engineering Manager Job description As the Silicon Engineering Manager you will be responsible for improving silicon-photonics yield and performance through data-driven analysis, cross-functional collaboration and proactive issue resolution. You will serve as the key interface between R&D, Process and Production teams, ensuring efficient data flow, rapid issue identification and continuous process improvement across wafer fabrication, device testing, and packaging stages.

Responsibilities:

* Perform silicon process and chip-level data analysis, establishing correlation between chip and wafer performance.
* Lead process debug and yield loss analysis at chip/wafer level, driving root cause investigations and corrective actions.
* Manage engineering approval forum to release production material.
* Collaborate closely with vendors to implement new product tests and resolve technical/process issues.
* Act as a key interface between design, testing, and production teams, ensuring alignment across the product lifecycle
* Oversee and coordinate the transfer of data related to silicon design, testing, fabrication, and characterization between Production and R&D departments.
* Develop and implement data management strategies to ensure data accuracy, security, and accessibility.
* Maintain proper documentation of data transfer protocols, version control, and data integrity checks.
* Support data analysis efforts to improve silicon performance, yield, and quality.
* Ensure compliance with company policies and industry standards related to data security and confidentiality.

Hiring Manager:
Arie Faitelson

What We Are Looking For As a GenAI Security team lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated TEST harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.

As a senior software engineer, you will take a leading part in a dedicated team designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies.

What You'll Do:
Work with Product Managers and team members to understand requirements, create and discuss feature design documents, and implement solutions.
Build platform capabilities for a set of new scalable data products to support enterprise customers.
Write back-end code in Java, which involves Spark, multiple cloud services, and relational databases.
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs.
Investigate production issues and ensure the system is constantly improving.
Work with the production team to track services, troubleshoot problems, and figure out how to reduce costs.
Solve privacy challenges to ensure consumer and patient data is never exposed.

As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.

What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers.
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments.
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases.
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities.
Mentor and guide team engineers, providing support in their daily tasks and development.
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs.
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data.

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

As a senior software engineer, youll be part of the core team responsible for hardware, software/hardware interfaces, algorithm integration and optimization in the product, and transfer of developed systems for production and integration.



This role offers an excellent opportunity to gain hands-on experience with electronics and optics equipment, image processing technology, motors, digital sensors, and imaging algorithms.


Your responsibilities will include:

Working closely with our algorithm development teams to optimize and integrate advanced algorithms into our product

Developing Scopios core software modules

Collaborating with multiple R&D teams to define and design new systems
technologies

Designing and implementing software from concept requirement to working product

Redesigning existing software for new technologies and to improve performance