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we are a leading the revolution of wireless mission critical communications as part of Industry 4.0.
We are addressing the true need for wireless communication on the factory floor that cannot be addressed today by existing wireless networks.
We are an Israeli startup, backed by notable investors and strategic partners, that is always in search of talented and driven team players who are up for the challenge and wish to be impactful and influential.
We are looking for a talented Firmware Engineer to play a central role in our Research and Development group. As a FW Engineer you will address all layers of communication from physical to Application layers, overcoming complex and diverse challenges.
Responsibilities:
Design, implement and debug wireless communication protocols and various applications for industrial projects.
Closely work with Hardware, Software and Customer Service teams.

As SW Engineer you will participate in software development of a state-of-the-art medical robot, in a fast growing and dynamic environment.

Your day-to-day will include all stages of software development lifecycle requirements definition, design, implementation, integration, testing and maintenance.

Main Responsibilities:
Participate in the full development cycle specification, design, deployment and maintenance of a wide variety of SW modules (these include UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic and more.
Provide ongoing maintenance, support and enhancements in existing systems and platforms.
Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions.
Provide recommendations for continuous improvement.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.
Document processes and maintaining software development records, following the software development lifecycle.
Maintain and improving existing codebases and peer review code changes.

Main Responsibilities:
Participate in the entire development cycle specification, design, deployment, and maintenance of various SW modules (these include UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic, and more).
Act as a Scrum master of the SW and V&V team. Facilitate the complete development process of the group. Resolve impediments and conduct all Scrum ceremonies.
Collaborate cross-functionally with data scientists, business users, project managers, and other engineers to achieve elegant solutions, improve technology, and consistently apply best practices.
Actively contribute to the continuous improvement of products and processes.
Document processes and maintain software development records following the software development lifecycle.

Main Responsibilities:
Manage, planning and execution of components level and E2E system tests with documented test results.
Participate in the verification and validation testing of the current and future products.
Ownership of designing, planning, and writing verification and validation testing documentation for existing and future products/features/modules, according to requirements.
Provide effort and time estimations of testing process for existing and future products/features/modules.
Lead the maintenance and definition of SW life-cycle related tasks including documentation and other regulation related issues.
Collaborate with Development, Applications, Project Management and Customer Support team members throughout the lifecycle of a project/product.
Assist other testing engineers with testing assignments and/or training.
Participate in customer and field issues support investigation.

We are looking for a passionate Computer Vision Software Team Leader who is excited to create, shape, and influence our products and company vision. As a Team Leader, youll deliver scalable, high-quality infrastructure that integrates AI models with complex application needs.
You will build fast, reliable, and efficient solutions on edge devices, as well as machine learning cloud-based systems and pipelines.
You will tackle technological challenges in performance and data scale, and uphold high standards for code quality and architecture.
Youll need both low-level and high-level expertise to address performance and AI challenges, while delivering robust features and infrastructure. You will continuously improve development processes, adopt new technologies, and help shape the future of retail through world-class AI solutions.
About The Role:
Lead the teams day-to-day activities, effectively managing priorities and navigating technical and organizational challenges.
Plan and coordinate work based on business goals estimate effort, set realistic timelines, and ensure timely delivery of high-quality results.
Design, develop, and deliver the next generation of features for our AI-driven solutions.
Conduct code and design reviews, evaluate implementations, and provide clear, constructive technical feedback.
Build and grow a high-performing team recruit, coach, mentor, and empower engineers to reach their full potential.
Collaborate cross-functionally with other teams to define and deliver features and initiatives that span across departments.
Foster a strong engineering culture by promoting best practices, high standards, and continuous improvement.

Responsibilities:
Design and develop application security software.
Research and implement new product features.
Come up with innovative solutions for hard to solve problems.

We are currently seeking a talented, passionate, and experienced Senior Backend Developer to join our team. You will contribute to the development of a robust product that operates across platforms and leverages cutting-edge technologies, providing critical insights for cybersecurity operations.
Main Responsibilities:
Design and implement key software components in flagship product.
Build and maintain a lightweight, cross-platform, high-performance agent (Rust).
Build and maintain a component that acts as a Command & Control (C&C) server written in Python, gathering data from Rust applications deployed on various platforms.
Collaborate with cross-functional teams to drive product and technical innovation.
Mentor and learn from other engineers in the team.

We are seeking a talented Full Stack Developer with strong expertise in Python and SQL to join our dynamic team. The ideal candidate will have substantial backend and data engineering experience, with the capability and willingness to support and develop features across the entire stack.
Responsibilities:
Develop, enhance, and maintain backend systems, particularly focusing on Python-based services and advanced SQL queries.
Handle extensive data engineering tasks, including translating Python analytics into optimized Snowflake SQL queries.
Support end-to-end feature delivery, contributing both backend and frontend development as required.
Ensure high-quality coding practices, efficient troubleshooting, and proactive improvement of platform components.
Actively participate in the teams agile practices, contributing to architecture decisions and overall technical direction.

Build Scalable Solutions: Develop a robust, scalable system using a mix of languages, frameworks, and machine learning models. Youll take full ownership of features, guiding them from idea to live product.
Customer-Centric Development: Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Cross-Disciplinary Innovation: Engage in initiatives across various tech domains from DevOps and infrastructure to data engineering and full-stack development expanding your impact company-wide.

Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.

we are looking for a Senior DevOps Engineer to build our next-gen production infrastructure.In this role, youll work on evolving our architecture, including CI/CD processes, data replication, monitoring and security tooling in a multi-cloud, multi-account environment.Our tech-stack includes AWS, RDS, Redis, RabbitMQ, DataDog, Jenkins and Github Actions, K8s and more
Youll work on:
Building a world-class SaaS infrastructure for shipping high-quality changes to production
Defining, developing, and maintaining core production services
Securing our cloud infrastructure and development environments
Defining and leading innovative DevOps processes and introducing new tools across
Constantly improving our Delivery Frequency, Lead Time to Changes, and Mean Time to Recovery.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.