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Required QA Automation Engineer
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.
Location: Tel Aviv - Israel.

As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry.
The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products.
The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.
Responsibilities:
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ , Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.

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.

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.

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

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.

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.

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.