Full-stack Engineer

• Build and maintain Java server-side services that manage, monitor, and control Android real devices and emulators at scale.
• Work hands-on with the Android system and AOSP (Android Open Source Project) — ADB, device instrumentation, and device communication protocols.
• Research and integrate non-public APIs and device behaviors to unlock new product capabilities.
• Contribute to tooling that keeps devices healthy, connected, and available.
• Debug real-world issues across the full stack — from a Java service down to device-level behavior.
• Collaborate with a global team through code review, pairing, and continuous learning.

Junior Software Engineer

• Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture
• Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing
• Designing and optimizing systems for low-latency, high-performance workloads at the edge
• Building secure and efficient communication pipelines between edge devices and cloud systems
• Working closely with AI/ML engineers to deploy and optimize models on-device
• Participating in code reviews, debugging, and performance tuning across the stack
• Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment

Senior Software Engineer – Edge

• Architect & Scale: Design, develop, and maintain clean, highly scalable, and cost-efficient backend code.
• Innovate: Evaluate and introduce cutting-edge technologies into our stack to keep our platform ahead of the curve.
• Leverage AI in Development: Integrate AI-driven tools into your daily workflow to accelerate coding, automate testing, and streamline code reviews, maximizing development efficiency.
• Data-Driven Optimization: Analyze system data and performance metrics to proactively improve efficiency and eliminate bottlenecks.

Software Development Engineer

• Design and implement scalable fullstack architectures using React and Node.js.
• Develop and maintain high-performance services and data pipelines, managing large-scale data aggregations.
• Collaborate with cross-functional teams - including product, design, and research - to integrate and ship new features.
• Troubleshoot complex production issues and optimize system performance.
• Champion secure coding practices and clean code standards.

Senior Fullstack Engineer

• Manage all aspects of software development - from planning new features, designing software solutions, testing, and quality management to release and maintenance
• Contribute and participate in technical discussions and architectural decisions
• Control project execution, including estimations, quality control, and timely delivery
• Lead, grow, mentor, and manage a team of talented software engineers
• Work in close collaboration with Product, Design, and other Development teams

Full-Stack Team Lead

• Designing and developing complicated security capabilities to defend against evolving web-based threats, shadow AI, and native desktop data exposure.
• Taking ownership of a mission-critical, cloud-native microservice architecture that safeguards millions of workspaces globally, ensuring high availability and reliability.
• Developing cutting-edge capabilities for GenAI and AI usage control, integrating our cloud-native backend with browser extensions and OS-level endpoint agents.
• Collaborating with cross-functional teams including DevOps, Product Management, and Security Experts to rapidly release secure, scalable code multiple times per day.

• Writing and debugging kernel-level C code across our Linux kernel module, Windows kernel driver, and eBPF programs.
• Owning end-to-end debugging of complex production issues, including kernel crashes and low-level system failures, while driving root-cause analysis and post-mortems for production environments.
• Acting as the technical lead for a small team by reviewing critical kernel/eBPF code mentoring engineers, unblocking complex issues, and guiding key technical decisions.

Principal Kernel Engineer

• You’ll transform operational tasks, currently residing in runbooks, Slack threads, and minds, into robust, observable, and maintainable systems. This involves:
• Designing and constructing Kubernetes operators and infrastructure microservices that enable self-healing and self-management of the infrastructure.
• End-to-end ownership of shared infrastructure components like Kafka and Debezium, facilitating safe and independent consumption by the rest of the R&D team.
• Developing continuous delivery (CD) pipelines and deployment workflows that minimize time-to-deliver and eliminate bottlenecks between teams.
• Designing systems with self-service in mind, allowing other teams to expedite their processes without initiating tickets.
• Measuring key performance indicators (KPIs) such as ticket volume, hours of manual work per week, time-to-deliver, and the level of friction experienced by consumers.
• This transformation goes beyond automation through scripting languages like Python or Bash. It demands genuine software engineering expertise, encompassing API design, extensibility, failure modes, observability, and upgrade paths.

Software Engineer

• Designing and building scalable backend applications for next-generation identity solutions.
• Collaborating with Product Management and engineering teams to deliver high-quality features.
• Conducting design reviews and partnering with QA to deploy production code.
• Collaborating across the organization with Data Science, Product, and Operations to build innovative components of Akamai's Big Data AI solutions.
• Solving complex technical challenges proactively with a high success rate.
• Participating actively in agile SCRUM planning and technical team meetings.
• Optimizing and supporting the continuous integration and delivery pipelines.

Senior Full-Stack Software Engineer

• Lead the architecture and execution of critical cryptographic infrastructure
• Define technical strategies with a multi-quarter horizon
• Own risky and ambitious initiatives
• Shape engineering quality practices as a technical anchor and mentor
• Build alignment and secure commitment from cross-functional partners

Staff Software Engineer

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

Embedded Linux OS Architect

• Design, develop, and execute tests and simulations for the features, as part of the SW releases working with a world-wide team.
• Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.
• Develop and maintain networking simulations for the development and testing of NVIDIA NetQ capabilities.

Software Engineering Student

• Design and implement features in collaboration with users during the design process.
• Own end-to-end implementation of features, being responsible for the entire stack, from UI to backend, to DB
• Support users with using our tools/platform and onboard new users

Full Stack Developer

• Collaborate closely with VLSI designers, user-space software engineers, firmware engineers, and system architects.
• Define and implement innovative features for both current and next-generation products.
• Work with the Linux kernel community and contribute work upstream.

Senior Linux Kernel Developer

• Research, design, and develop advanced computer vision (CV, ML, DL, GenAI) algorithms for camera systems and photo enhancement features
• Develop image and video processing, object recognition, and scene understanding algorithms to drive innovation in camera performance
• Research, design, and implement real-time robotic perception pipelines for unstructured environments
• Develop and integrate SLAM, visual odometry, object detection, segmentation, and 3D mapping algorithms using multi-sensor fusion (RGB-D, IMU, LiDAR, etc.)
• Optimize perception and ML models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints
• Drive adoption of emerging technologies such as Gaussian Splatting, 3D occupancy mapping, and LLM-based reasoning
• Validate performance through simulation (Gazebo, Isaac Sim, Unity) and real-world testing
• Manage the full lifecycle of ML/DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions
• Collaborate with cross-functional teams across Samsung to integrate ML/DL algorithms into hardware and software platforms
• Stay at the forefront of developments in machine learning, computer vision, and deep learning, and guide the adoption of emerging technologies to elevate Samsung’s camera solutions
• Apply parameter-efficient optimization and advanced ML techniques for high-performance inference in constrained environments
• Contribute to technology roadmaps and R&D investment decisions to ensure long-term success in camera technologies

Senior Engineer, ML, Computer Vision

• Define the architectural vision, principles, and long-term strategy for enterprise-scale agentic AI platforms and capabilities
• Design scalable, secure, and governed architectures for AI agent orchestration, coordination, and execution across enterprise environments
• Establish architectural standards, reusable patterns, and reference architectures for agent platforms, workflows, and governance
• Define secure integration frameworks for AI agents interacting with enterprise systems, data, and applications
• Partner with cross-functional stakeholders to align agentic architecture with business goals and enterprise requirements
• Provide technical leadership and mentorship to ensure scalable and reusable agentic AI solutions
• Establish frameworks to assess agent performance, reliability, risk, and production readiness

Senior Software Architect – Agentic AI

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
• Build ML pipelines for data-based diverse dataset creation and efficient model inference
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
• Partner with algorithm teams to translate model weaknesses into data curation criteria
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
• Bring models from research/prototype stage into robust, production‑ready deployments
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
• Contribute to deployment flows (e.g., model conversion, profiling, optimization)
• Build and improve CI/CD pipelines, automated testing, and development workflows

Full-stack Engineer jobs in Israel

See all jobs on JobTailor

Junior Software Engineer

Senior Software Engineer – Edge

Software Development Engineer

Senior Fullstack Engineer

Full-Stack Team Lead

Senior Fullstack Engineer

Principal Kernel Engineer

Software Engineer

Senior Full-Stack Software Engineer

Staff Software Engineer

Embedded Linux OS Architect

Software Engineering Student

Full Stack Developer

Senior Linux Kernel Developer

Senior Engineer, ML, Computer Vision

Embedded Linux OS Architect

Embedded Linux OS Architect

Senior Software Architect – Agentic AI

ML Software Engineer

ML Software Engineer