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The Cellular group is looking for an extraordinary Systems and Algorithms engineer with extensive experience in signal processing and AI development to develop and drive pioneering technologies for our products. As part of the team, you will work on the recent cellular technologies, LTE, 5G, and 6G, to develop solutions on the cellular Modem, focusing on AI-based solutions. You will have the chance to be part of an exciting development process that brings new solutions to life in groundbreaking areas of cellular chip development, which is a key part of our products.

Leading role in developing systems and algorithms for Cellular modems:

Advanced modulation and demodulation techniques, channel estimation and tracking, radio impairments compensation, and more.

Multidisciplinary problem-solving, development of classical and data-driven algorithms with end-to-end simulation.

Present your work effectively to engineering and executive management.

We are seeking a Quality Engineer to ensure product and process quality across manufacturing, suppliers, and new product introduction activities. The role supports and maintains the Quality Management System, ensures compliance with applicable standards, and implements effective quality controls throughout the product lifecycle. The Quality Engineer leads root cause analysis and corrective actions, works closely with cross-functional teams, and drives continuous improvement to enhance quality performance and customer satisfaction.
Key Responsibilities:
Support and maintain the Quality Management System (QMS) in compliance with ISO 9001 and applicable standards
Lead investigations of nonconformances, deviations, and customer issues, including root cause analysis and CAPA
Define and support inspection plans, acceptance criteria, and quality controls across manufacturing
Participate in New Product Introduction (NPI) activities, including design reviews, FMEA, pilot builds, and FAI
Support supplier quality activities, including issue resolution, corrective actions, and performance monitoring
Conduct and support internal and supplier audits and ensure timely closure of findings
Analyze quality data and KPIs to identify trends and drive continuous improvement initiatives
Collaborate with Engineering, Operations, Supply Chain, and other stakeholders to ensure quality objectives are met

As a key member of our team, you will be responsible for the selection, development, and seamless integration of FPGAs that implement critical functionality on our prototypes. Your work will span a wide range of applications, from crafting low-level hardware control and status for embedded systems and high-speed links, to integrating high-level IP blocks and developing custom hardware-accelerated algorithms and filters. You will leverage your strong foundation in digital design and communications, working with micro-controllers, microprocessors (ARM), and various peripheral interfaces (I2C, SPI, high-speed serial interfaces), and industry-standard protocols (PCI Express, USB, Ethernet). This role requires significant hands-on experience with board bring-up and debug of complex digital hardware.

In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.

Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

If you have the passion for understanding how your code affects real hardware, and the ambition to take part and influence large scale, groundbreaking projects, we have a role for you.
The System & Firmware Diagnostics team is looking for an exceptional embedded software engineer to join our SoC bringup team in Israel.

As a member of the team you will design and implement drivers and software on lower-layers for our UEFI environment, debug complex cross-functional issues and support the manufacturing process of our products. You will have deep and broad view into Apple SoCs and technologies, how we design test and manufacture our products.
You will work closely with hardware, silicon and system teams in Israel and across the globe to accomplish software-hardware integration and participate in bringing up our software on new Apple products from pre-silicon phase to product release.

seeking a Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.

Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

We are looking for a Regional Workplace Manager and People Partner to join our team in Tel Aviv, reporting to the Europe People Lead. In this role, you will play a key part in ensuring smooth Workplace and HR processes, enhancing employee experience, and being a culture champion across our region. Amongst other duties, this role will be primarily responsible for the below :

Be the face of the People team and the first point of contact to the office and business on all People and Workplace related queries for Israel.

Own employment compliance in the region, ensuring alignment with local laws and regulations.

Oversee regional benefits implementation and drive operational efficiencies in HR processes.

Act as a trusted advisor to senior stakeholders on organizational design, workforce planning, and people strategy.

Lead the execution of core HR processes including onboarding, performance, compensation, and offboarding.

Provide guidance on employee relations matters and advise leaders on performance and conduct processes.

Take care of the smooth running and general happiness of our offices and colleagues.

Ensure key stakeholders in-region and globally are kept well informed of all Workplace management operations.

Budget management for Tel Aviv office.

Collaborate with the wider Workplace team on global initiatives and strategic projects.

Support talent attraction and employer branding initiatives in partnership with TA and Marketing teams.

Contribute to global People projects and ensure regional needs are embedded in broader initiatives.

Onsite presence 4 times a week, Monday till Thursday.

The role is both highly analytical and highly customer-facing. It requires a proactive mindset, strong influencing skills, and the ability to translate deep, data-driven fraud insights into clear, practical recommendations that help merchants make confident decisions. You will hire and develop analysts, define how the team operates, and play a central role in shaping how delivers fraud expertise in a high-performance, growth-oriented environment.

Key responsibilities

Build and lead a Fraud Analytics team focused on merchant-specific fraud strategies

Hire, mentor, and develop fraud data analysts while setting a high analytical and professional bar

Own complex fraud analyses and strategy recommendations end-to-end, from investigation to deployment

Design, test, and deploy fraud rules and data-driven strategies, leveraging machine learning models

Define clear success metrics and track performance against them

Work closely with Commercial teams in customer-facing contexts, supporting merchant conversations with clear, structured insights

Partner with Product, Data Science, Engineering, and Operations to translate merchant needs into scalable fraud capabilities

Influence across the organization and drive continuous improvement in how fraud strategy and analytics are delivered