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Nuvoton Israel, located in Herzliya, is a leading fabless semiconductor company developing cutting-edge ASIC solutions for the Cloud and Enterprise markets. Our products—integrated ASIC chips with embedded software—are deployed in the tens of millions worldwide across a diverse range of computing systems. We partner with Tier-1 PC and Server OEMs, including HP, Dell, Google, and Microsoft , to define the future of hardware security and cloud infrastructure.
At Nuvoton, we leverage FPGA technology to emulate our ASIC designs and their system environments. This is a critical pillar of our design validation process and provides the essential early prototyping platform for firmware development. We are looking for an experienced, self-starting FPGA Engineer to join our HW team. In this role, you will operate independently and collaborate with multiple R&D teams to produce, debug, and utilize high-quality FPGA designs that bridge the gap between concept and silicon.
Key Responsibilities · Own the entire FPGA development lifecycle, from design entry to timing closure. · Develop FPGA-based emulation platforms for complex ASIC designs. · Independent execution of synthesis, place & route, and timing constraints. · Collaborate with Hardware and Firmware teams to debug system-level issues in the lab. · Establish and follow orderly work procedures to ensure high-quality design standards.

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. If you have a strong background in NPI processes, experience in PLM, strong self-learning capabilities, and leading tasks E2E, we’d like to meet you! The NPI engineer will be responsible for the configuration control of INFINIDAT products, and all aspects of NPI processes.

Responsibilities:

* Building and managing Production files: BOMs, Product documentation, working instructions, and drawings.
* Transfer to Production of new products – Full NPI processes.
* Conducting and implementing product changes (ECOs, deviations) and configuration control, managing product lifecycle E2E.
* Ongoing technical support at FTK sub-contractor's production line sites (IL and US) with existing and new products, an initiative for production line continuous improvement.
* Support operations engineering and quality processes such as root causes analysis, CAPA, etc.
* Lead the company certifications and compliance maintenance -International and sustainability.
* Work closely with various departments in the company to define manufacturing procedures.

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Senior Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data-related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure

The Role joins the team acting as the backbone of mavens (Zynga & T2). You will build and scale the mission-critical data infrastructure that powers our products, moving data at high volumes and low latency. This is a hands-on, fast-paced role focused on ingestion, processing, and backend engineering.

What Youll Do

Build & Scale: Design robust, observable external data integration pipelines and backend services.
Manage Data: Maintain data lake/warehouse layers using modern formats (Apache Iceberg, BigQuery).
Model: Design schemas for flexibility, performance, and cost-efficiency.
Collaborate: Work globally with engineers to integrate external APIs and support product needs.

As a Data Product Manager, you will play a critical role in driving the success of our business through successful data product development. You will be responsible for leveraging our unique data to empower all the teams across the company and be part of building great data exploration and storytelling products. In this role, you will work closely with cross-functional teams to deliver high-quality solutions.



Responsibilities

Build the expertise behind our data and have a deep understanding of how it should be collected, generated, processed, and how it serves the various platforms products.
Lead the development and execution of the data product roadmap, including defining the product vision, strategy, and key objectives.
Gather, define and prioritize data product requirements along with engineering and other product managers.
Use data and feedback to inform product decisions and drive continuous improvement.
Communicating regularly with stakeholders, including senior leadership, customers, and the wider team, to provide updates and gather feedback.
Building and managing relationships with key partners and vendors.