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Requirements:
* B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related field.
* 5+ years of Embedded software development experience, with a strong focus on modern C ++.
* 2+ years of team leading experience, managing a team of at least 5 software engineers.
* Strong experience developing software for Linux -based systems, with a solid understanding of Linux internals and Embedded Linux build systems.
* Experience designing and developing infrastructure and system -level software as an abstracted Linux platform layer for application teams.
* Experience working in multi-process and multi-threaded environments.
* Strong understanding of software architecture, design principles, and scalable system development.
* Experience with network communication protocols and distributed systems.
* Familiarity with Agile development methodologies.
* Strong problem-solving skills, with the ability to work independently in a fast-paced environment.
* Excellent communication and interpersonal skills.
* Self-motivated, with strong learning capabilities and a continuous-improvement mindset. Preferred Qualifications
* Experience with wireless and connectivity technologies such as Wi-Fi, cellular, BLE, or Sub-GHz communication.
* Experience with serial communication protocols, including CAN bus and RS485.
* Familiarity with IPC mechanisms: MQTT, ZeroMQ, gRPC.
* Experience with Protocol Buffers (Protobuf).
* Experience with Embedded Linux build systems such as Yocto or Buildroot.
* Experience with cybersecurity features for IoT devices: HTTPS, Secure Boot, Secure Storage.
* Experience designing service-oriented or microservices-based architectures.
* Experience building secure communication solutions for connected devices.
* Experience leveraging AI-assisted development tools and modern software engineering practices. our company recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people.

Requirements:
B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
At least 3 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years of industry experience working on major computer vision problems.
Experience using PyTorch, MxNet, TensorFlow, or similar tools
Experience with large scale data
Comfortable within an unexplored territory, independent and self-motivated.

Requirements:
5+ years of experience as a Fullstack, Frontend, or Backend Engineer, with at least 2+ years as a Team Lead.
B.Sc. in Computer Science, Software Engineering, or a related field from a well-known university.
Strong proficiency in TypeScript, HTML, and CSS.
Proven expertise with modern frontend frameworks and building reusable, modular component systems (Vue experience - an advantage).
Proven expertise in backend server development with languages such as Python, Scala, Go, or Java, and/or with Node.js.
Experience with SQL or NoSQL databases.
Proficiency in at least one major cloud platform: AWS, GCP, or Azure (AWS preferred).
Experience developing and maintaining distributed systems at scale - an advantage.
Excellent communication and collaboration skills, working effectively across engineering, product, and business teams.
Passion for building great products, and empowering engineers to do their best work.

Requirements:
Have 5 years experience in C++ development, with deep knowledge of systems programming, memory management and concurrency.
Have experience with eBPF, XDP, or related Linux kernel technologies, and an interest in low-level systems development.
Have a Deep command of modern C++ (including C++11/14/17/20), STL, familiarity with low-level and performance profiling tools.
Have proven experience in research-intensive areas, like experimentation, algorithm, or exploring new technology capabilities.
Demonstrate an in-depth understanding of Linux OS internals, network protocols, and security features within the Linux environment
Be able to dive into kernel development and continuous learning about advancements in the Linux kernel eBPF ecosystem.
Be able to solve complex, abstract problems using logical and creative approaches.

Requirements:
Have to be proficient in Kubernetes, Linux and Jenkins with coding experience in Python.
Have to show experience designing and implementing large scale continuous delivery solutions
Have to be experienced with AI tools/AI agents and demonstrate cost effective use of it
Have to understand networking, security, performance for high scale applications.
Have to be a self-motivated professional capable of working with minimal supervision.
Have to possess detailed problem solving skills and experience in a global company.

Requirements:
5+ years in enterprise-grade technical support, escalation engineering, or technical account management within cybersecurity or network infrastructure.
Demonstrate expertise in Linux and Windows OS internals, system administration, and logging mechanisms. Solid understanding of enterprise networking (TCP/IP, routing, firewalls) and modern security paradigms
Gain practical experience with Kubernetes (K8s), containerization (Docker), and effectively resolve API-related issues.
Demonstrate scripting skills in Python, Bash, or PowerShell for automation and diagnostic workflows - nice to have
Have prior experience serving as an Escalation Engineer working with Support engineers, R&D and QA teams.
Demonstrate exceptional context-switching capability, balancing high-touch customer management with deep-dive technical triage under pressure.
Executive-level communication skills to articulate complex technical issues to both technical teams and business stakeholders.
High level of English - verbal and written

Requirements:
Senior C ++ Engineer 3+ years of hands-on experience in C ++ development. Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Experience in developing operational, algorithm-intensive systems Proven capability in shaping software architecture, participating in all stages of the product development lifecycle, and taking part in field trials/experiments. Deep understanding of Object-Oriented Programming (OOP) concepts and Multi-threading / Concurrency Strong system -level engineering perspective with the ability to analyze complex technical requirements. Familiarity with ALM tools for development and testing management (experience with Azure DevOps is a plus). Proficiency in supporting/scripting languages: Python - Advantage. Background/Familiarity with algorithmic principles and data structures - Advantage.

Requirements:
5+ years of experience building scalable, production-grade full-stack applications.
Strong hands-on experience with TypeScript, Node.js, Python, React, and modern full-stack development.
Experience building AI-powered applications using LLMs (OpenAI, Anthropic, Gemini, etc.).
Hands-on experience with AI Agents, RAG, vector databases, prompt engineering, context engineering, and MCP.
Experience with AI frameworks such as LangChain, LangGraph, Langfuse, LlamaIndex, or similar.
Strong understanding of distributed systems, microservices, APIs, and cloud-native architectures.
Experience with AWS, Docker, Kubernetes, CI/CD, and DevOps best practices.
Ability to quickly learn and adopt emerging AI technologies and AI-assisted development tools.
Strong ownership mindset with the ability to independently deliver solutions from concept to production.
Experience building internal AI platforms or AI developer tools (advantage).
Familiarity with AI coding assistants such as Cursor, Claude Code, Windsurf, or GitHub Copilot (advantage).
Experience with multi-agent systems and autonomous workflows (advantage).
Background in SaaS or cybersecurity environments (advantage).
Experience leading technical initiatives or mentoring engineers (advantage).
Knowledge of AI security, model safety, and governance best practices (advantage).
Excellent communication skills, a collaborative mindset, and the ability to thrive in a fast-paced startup environment.
Passion for AI, curiosity, and a strong focus on innovation, execution, and business impact.

Requirements:
4+ years of experience in backend development using Python.
Strong problem-solving and debugging skills.
Ability to work independently and continuously learn new technologies.
Excellent organizational and time management skills.
Strong attention to detail and precision in development.
Effective communication and teamwork skills in both Hebrew and English.
Solid understanding and experience with:
API development and testing (FastAPI, Flask, or Django; Swagger, Postman).
Database management (PostgreSQL, MongoDB).
Cloud-based microservice architectures (AWS compute, storage, and messaging services).
Containerization (Docker).
Version control and CI/CD pipelines (Git, CI/CD tools and concepts).

Requirements:
Requirements and Skills:
5+ years of experience in software development, with a strong background in Python and/or other backend languages (Java, Go, C#, etc.).
At least 3 years of experience as a team lead, guiding and mentoring developers.
Strong problem-solving and debugging skills.
Passion for research, innovation, and staying at the forefront of technology.
Excellent organizational and time management skills.
Precision and attention to detail.
Strong teamwork and communication skills in both Hebrew and English.

Technical Skills:
Expertise in multithreading, concurrency, and real-time systems.
Experience with low-level programming, memory management, and performance optimization.
Proficiency in API development and network programming.
Familiarity with relational and non-relational databases (PostgreSQL, MongoDB).
Experience with containerization tools (Docker), Kubernetes (K8S), and cloud-based architectures (AWS).
Familiarity with on-prem infrastructure and AI/ML systems.
Strong knowledge of Git, CI/CD pipelines, and software development lifecycle.
Experience with C++ - an advantage.
Experience with GPU programming (CUDA, OpenCL) - an advantage.

Requirements:
Solid experience in data science, with a focus on image analysis and text reading.

Proficiency in programming languages such as Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, OpenCV).

Strong understanding of statistical modeling, machine learning, and deep learning algorithms.

Experience working with large-scale datasets and applying data preprocessing techniques.

Excellent problem-solving skills and the ability to work independently as well as in a team environment.

Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.