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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.

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.

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

we are looking for an experienced backend Developer to join our GeoImpact and ClearSky software team. The team develops our company's ClearSky Ground Segment solution that brings the new-space age also to satellite operation, and the GeoImpact Solution that brings space-based intelligence, from automatic collection plan, to automatic analysis using computer vision, ML and AI. Incredible opportunity to work in the exciting space domains, integrating intelligence with cutting-edge software development practices and tools.
Responsibilities:

* Experience with Docker and K8S
* Familiarity with observability tools
* Familiarity with GIS and satellite operation concepts

we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. we offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.
What you'll be doing in this position:
* Design and implement Smart Energy management solutions that connect smart devices using advanced and emerging protocols, ensuring exceptional performance, robust security, and seamless scalability.
* Collaborate with system Engineers and Software Architects to deliver well-structured, high-quality software aligned with the teams roadmap.
* Develop and maintain high-quality code following best practices, while performing peer reviews to ensure consistency, reliability, and maintainability.
* Work in a hardware-oriented environment, including integration with physical devices, troubleshooting complex setups, and validating software-hardware interactions
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
* Work across multiple Embedded Linux platforms, contributing to complex system -level development and integration tasks.
Country:
Israel
City:
Herzliya