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we are looking for a motivated, ambitious, and independent Game Economy Manager to be our mathematical product expert for the hybrid-casual games, with an entrepreneurial spirit and passion. To succeed in this role, you have to breathe the gaming market, and support our internal and external partners in crafting and shaping our games with innovative decisions based on your knowledge, expertise and data
What you'll be doing
Design, monitor, balance and lead the economy model and user experience from an economy point of view to drive players' engagement and improvements in game KPIs such as retention and ARPDAU
Build and analyze pricing funnels to increase IAP share of wallet
Identify areas where sinks/sources should be tightened or loosened to improve engagement, retention and revenue
Conducting AB tests of different economy strategies that can help improve our games LTV
Price the games virtual currencies and Recommend rewards and monetization game features to build an economic system to fulfill player needs
Collaborate with our Data/BI teams in crafting economy reports, user segmentations and dashboards to allow all partners to be aware of the current status in our games economy and the valuable KPIs around this activity
Collaborate with cross-functional teams such as product, developers, data, monetization on designing new and existing features to improve player satisfaction and provide additional monetization opportunities

We are s looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

Required Algorithm and DSP Engineer
About the Role
Our Algorithm Research & Development team operates at the cutting edge of Cyber over RF (CRF) - a unique and multidisciplinary field that blends signal processing, RF experimentation, physics-based modelling, and cyber research.
We work end-to-end: from early-stage research and concept development, through algorithm design and simulation, all the way to lab prototypes and real-world field testing. Its hands-on, intellectually demanding, and incredibly rewarding.
Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

Ready for an intellectual challenge that combines Mathematics and CS theory in the context of hardware development? Keep reading.

In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence

Not in the Formal domain? No worries, we offer thorough training to learn the theory and practice directly from our team experts.

In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence .
The position is relevant for both Herzliya/ Haifa site.

we are looking for a SW Automation and Validation Engineer.
In this role, you will design, develop, and maintain automated tests and infrastructures to ensure the highest quality and reliability of our products.
You will work with Agile methodologies and engage with multiple programming languages, mainly C++.
Key Responsibilities:
Develop and maintain automated tests and infrastructures in C++. Validate software functionality against system requirements and specifications. Collaborate globally with validation engineers and software developers to learn new features and create corresponding test plans. Validate tests results and identify bugs. Investigate, document, and track bugs, working closely with development teams to ensure timely resolution. Continuously improve test coverage and test automation infrastructure. Use innovative and state of the art technologies in test automation and quality engineering.

Were looking for a passionate and experienced Computer Vision Algorithms Engineer to join our applied algorithms team and help shape the future of Digital Twin technology. In this role, you will research, design, implement, and optimize advanced machine learning and computer vision models to process and extract insights from data captured by our autonomous drone hives and other imaging systems.

Your work will go from research to real-world impact, delivering robust, production-ready solutions that power mission-critical operations for global enterprises across telecom, wind, and solar. Youll collaborate closely with cross-functional teams to ensure that the algorithms you build are not only accurate and scalable but also aligned with mission of enabling enterprises to digitize smarter, faster, and safer.

Job Description:

Develop algorithms to solve challenging computer vision problems, reducing customers manual work-from survey analysis to optimal drone flight planning.
Combine methods from Computer Vision, Geometry, Image Processing, Photogrammetry, 3d Mapping, Optimization, Object Detection, Classification, and different Machine Learning approaches.
Conduct research and feasibility studies, define algorithm requirements, and integrate solutions into the product.
Bring solutions from theory to production, collaborating with cross-functional teams (Product, R&D, Operations) to align on goals and deliverables.
Take ownership of integrating AI capabilities into production and iterating based on real-world feedback.

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

We are looking for a Senior Chip-Design Verification Engineer to join our Network Adapter Silicon group. As a Senior Verification Engineer in our Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops core units within the Networking silicon.

Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, FW and Post-Silicon validation.

We are looking for best-in-class Chip Design Verification Engineer to join our outstanding Networking Silicon Engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in verifying our ground-breaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What youll be doing:

Work as a Chip Design Verification Engineer as part of a combined design and verification team that develops front-end design for the Switch silicon GPU and HCA.

Chip level integrations and connectivity.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW. Interaction with organization-wide groups.

We are looking for a Formal Verification Developer

Nvidia Networking Formal Verification tool development team is growing and looking for an outstanding computer scientist to join the team as a key player. Our main goal is to develop state of the art formal verification technology. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:
Develop formal verification technologies.
Carry innovative ideas from research through development and up to acceptance by team of formal verification engineers.
Collaborate with different teams in the organization to provide end to end formal solutions.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:
Develop shared verification code and solutions to be widely used by the chip design team.
Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.
Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.
Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.
Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
Collaborate with designers, verification specialists to accomplish your tasks.
Develop training sessions.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.

Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.