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We are looking for a talented Algorithm Engineer to join our Cognitive AI team. In this role, you will design, build, and optimize LLM-based agents that power real-time problem solving. You will be hands-on in Python, research-driven, and passionate about creating intelligent, scalable AI solutions that make a real impact.
Responsibilities:
Design, develop, and optimize LLM-based agents for real-world production use cases.
Build intelligent agent frameworks that orchestrate reasoning across tools, APIs, and knowledge bases.
Deploy and maintain LLM applications in production, ensuring performance, scalability, and reliability.
Research new approaches in LLMs and agent architectures, and integrate cutting-edge techniques into production systems.
Collaborate with cross-functional teams (product, engineering, data) to translate business needs into AI solutions.
Continuously monitor and optimize deployed models, diagnosing and resolving bottlenecks.
Think creatively about complex problems and deliver technological Innovation

We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications.
Work with large-scale visual datasets to train, test, and validate models.
Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing.
Enhance the efficiency, accuracy, and robustness of existing vision-based models.
Collaborate with software engineers, data scientists, and product teams to integrate algorithms into AI-powered platform.
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models.

we're​ ​looking for​ ​a​ ​Mobile User Acquisition Manager to join our amazing Marketing team.
Responsibilities:
Acquire new and high-quality players for the games in an efficient and profitable manner.
Adjust campaign bids, targets, and audience settings based on performance data to maximize efficiency and improve player quality.
Manage campaigns by optimizing and maximizing ROI across large-scale media platforms such as Facebook, Twitter, Instagram, and various Video Networks.
Make recommendations on campaign enhancements including retargeting, bid automation, etc
Improve performance by conducting A/B testing with new creatives and tools.
Monitor campaign metrics and identify key trends and anomalies to ensure budgets are spent effectively while maximizing performance.
Identify and implement new customer acquisition channels while influencing strategies for key digital marketing initiatives.

We're looking for an Automation Engineer to join our team and create awesome games at a company that puts quality at the forefront. Youll enable us to move fast all while maintaining excellent quality for our users. Youll also get the chance to be an industry leader in automation for mobile games.
Responsibilities:
Design, build, and integrate AI-powered tools that solve real internal needs.
Use LLM APIs (like OpenAI) to create solutions for code generation, testing, documentation, and more.
Understand internal pain points and translate them into scalable AI solutions.
Own projects end-to-end from idea to working solution.
Conduct prompt engineering, experiment with fine-tuning, and evaluate different AI models.

We're looking for an experienced Backend Developer to join our growing data platform team.
As a Backend Developer, you'll work on a massive data processing pipeline, ingesting over a billion daily events from multiple sources. You'll also create the next-generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Own projects from initial discussions to release, including data exploration, architecture design, benchmarking new technologies, and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data-related issues.
Develop unit, integration, end-to-end (e2e), and load tests.

We're looking for a talented DevOps engineer.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Responsible for DevOps, Cloud and Monitoring environments - Build infrastructure, tools and services to improve delivery and availability
Be part of product architectural and infrastructure design - Design and leverage the backend infrastructure and its security aspects
Responsible (together with the team members) for the platform, up-time, infrastructure, scale and costs
Work alongside Architects, Developers, System administrators and other tech leads in the company

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

We're looking for an experienced​ QA Engineer to join our team and be part of a dedicated cross-functional team, taking ownership of the quality strategy for a significant product lane within the game, helping us create awesome games at a company where quality is paramount.
Responsibilities:
Collaborate closely with Backend and Client engineers and Product Owners in cross-functional teams to identify bugs and ensure high-quality delivery
Design, execute, and maintain test cases for new and existing features
Execute manual testing for mobile games on iOS and Android, including client/backend integration testing
Conduct data testing to ensure integrity, accuracy, and reliable analytics verification
Investigate and reproduce production bugs reported from the field
Leverage AI capabilities to enhance testing efficiency and coverage

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 a developing cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in the 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 Manager specializing in data flow management Job description As a Silicon Data Flow 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.