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We are looking for an experienced System Engineer to lead the definition and integration of our next-generation wireless IoT systems. You will possess a unique "end-to-end" perspective: understanding the physics of the RF/Analog silicon, the intricacies of the BLE protocol, and the full integration between devices to network connectivity. You will work closely with Silicon, FW, and Cloud teams to ensure robust connectivity and optimized power consumption.

Responsibilities:
System Architecture: Define system-level requirements for Wireless IoT products, focusing on RF performance, power budgets, and data throughput. Faimilairy with in-door wireless including antenna design consideration is an advantage.
Silicon & RF Interface: Work with Silicon development teams to define RFIC specs and resolve integration challenges (Analog/RF mixed-signal flows).
Connectivity Pipeline: Define the HW to Firmware to Ethernet or wireless pipeline.
Integration & Debug: Hands-on bring-up of new silicon/hardware in the lab, debugging complex issues spanning from RF interference to network protocol failures.

We are looking for a System Engineer who "speaks" both Network and Code. In this role, you will be the architect of the systems connectivity, designing how our devices communicate over wired LAN infrastructures and ensuring the software architecture supports robust, high-throughput data flow. You will bridge the gap between IT network configuration and R&D software development.

Responsibilities:
System Network Design: Define the networking architecture for complex systems, focusing on Wired LAN configurations, switch management, and topology planning.
E2E device to platform SW features: Collaborate with SW teams to define system-level software features - for example security, configurations, etc...
Network Integration: Lead the integration of system components into customer IT environments (Subnets, VLANs, Firewalls).
Hands-on Coding: Write production-grade code or advanced scripts for system automation, network simulation, and performance testing.
Bottleneck Analysis: Analyze data flows to identify network congestion or software inefficiencies and propose architectural changes.
Security: Define and implement network security protocols (PKI, penetration resilience) within the system design.

we are looking for a Junior Tech CSM.
Responsibilities:
Receive and process customer orders for SIM cards through various channels (phone, email, online, etc.)
Pack, and prepare SIM card orders for shipment
Activate SIM cards using the companys activation platform or software
Ensure all orders are fulfilled in a timely and efficient manner
Maintain inventory levels of SIM cards and notify management of any stock discrepancies
Package orders securely using appropriate materials to prevent damage during shipping
Collaborate with shipping/logistics team to ensure smooth delivery of orders
Provide excellent customer service and handle any order-related inquiries or issues
Adhere to all company policies, procedures, and quality standards
Guide customers through troubleshooting steps, including configuration checks, module diagnostics, and network testing.
Assist customers in configuring and setting up IoT devices, cellular modules, and gateways for seamless integration with cellular networks.
Assisting with other tasks provided by other team members
Identify needs for training and schedule appropriately to conduct
Working together with other team members in order to improve customer Service procedures

we are looking for a Chief Architect.
The Chief Architect is expected to take ownership of initiatives from initial concept through implementation, deployment, documentation, and handoff to the team. This role is not suitable for candidates seeking a primarily advisory, review-only, or high-level architecture position without hands-on ownership of delivery.

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a highly skilled Full Stack Developer with 5 years of experience in software development, proficient in Python and React. A passion for creating complex features and solving complex problems, as well as designing and architecting business solutions.
About The Role
Design, develop and maintain high-quality web applications using Python and React.
Develop and maintain clean and efficient code
Troubleshoot and debug issues as they arise
Optimize applications for maximum speed and scalability
Participate in the entire software development life cycle, including planning, design, development, testing, and deployment
Collaborate with product managers, designers, and other developers to identify and solve complex problems
Continuously research and evaluate new technologies to improve the product and the development process.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.

our company networking is a world-leader in building the most powerful supercomputers in the world which drive the ai and hpc industry. these rely on high performant network asics which connect gpus at scale for efficient data transfer and compute.
we are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. the role is cross-disciplinary, collaborating with hardware and software teams across the wider company.
you will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.
what you'll be doing:
develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options for our next generation of switches.
learn and understand the switch asic across all performance related aspects
focus on switch hardware modeling.
analyze and model the communication patterns of key DL, gai inference and training applications.
explore innovative ideas to improve and optimize our chip systems performance.