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we are looking for a Graduate Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation. In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation

we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

we are looking for a Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

We are seeking an experienced Full-Stack Team Lead to manage a dynamic team of 4 engineers (2 backend, 1 frontend, 1 Devops) in developing cutting-edge products. The ideal candidate will have full-stack development expertise, strong leadership skills, and experience with scalable, high-performance systems.
Responsibilities:
Team Management: Lead and mentor a team of engineers (backend and frontend), focusing on their personal and professional development.
Feature Development: Architect and develop end-to-end features, handling both backend (Redis, Kubernetes, PostgreSQL, Python, FastAPI) and frontend (React, Redux, Cesium, monorepo with npm 7, TypeScript) technologies.
Code Reviews & Quality: Conduct thorough PR reviews and ensure code quality and adherence to best practices.
Version Management: Oversee version management and the release of new product iterations.
Customer Support & Hotfixes: Interact with customers, troubleshoot issues, and implement hotfixes as needed.
Product Development: Collaborate closely with the product team on defining new features, UI/UX improvements, and assigning tasks across frontend and backend teams.
Bug Triage: Regularly conduct bug triage with the QA team and ensure timely resolution of issues.
Cross-Team Collaboration: Work with the Computer Vision team on integration pipelines and support Proof of Concepts (POCs) for quick solutions.
Scalable Solutions: Lead development of two key products-one involving augmented reality on real-time video and another managing georegistration for satellite imagery.
Stakeholder Communication: Report directly to the VP of R&D and contribute to strategic product discussions.

We are hiring a Principal Algorithms Solution Architect to lead innovation in algorithm design and system architecture, delivering transformative solutions in graphics, vision, and AI for our next-generation iTero scanners.
The role is located in Petah Tikva or Caesarea
Key Responsibilities:
Lead and execute cutting-edge algorithmic challenges, driving knowledge and breakthroughs across the company.
Play a pivotal role in shaping our algorithmic strategy and influencing performance outcomes.
Provide guidance, mentorship, and leadership to teams, ensuring successful delivery across multiple projects.
Apply advanced troubleshooting skills and collaborate with R&D and Product teams to resolve complex technical issues and ensure system reliability.
Partner with stakeholders to anticipate future challenges and design innovative solutions.
Participate in all phases of the algorithm development cycle, from concept through deployment.
Identify risks in algorithm and system design and propose effective solutions.
Evaluate existing solutions and recommend improvements to enhance efficiency, scalability, and robustness.
Consistently demonstrate innovative thinking, systemic understanding, and strong cross-team collaboration.
Maintain a strong leadership presence, fostering accountability, growth, and high performance across the organization.

We are looking for a motivated and creative software Engineer to join our team in building automated test equipment for medical product production. This position focuses on Python programming and hardware interface development, contributing to reliable and efficient testing systems in a regulated environment.
In this role, you will
Develop and maintain software for automated test equipment with hardware integration.
Collaborate with senior engineers and cross-functional teams to implement robust solutions.
Learn and apply new technologies to improve testing processes.
Write clean, maintainable, and well-documented code.
Participate in code reviews and continuous improvement initiatives.

Do you want to join an international team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device
Key Responsibilities:
You will deal with imaging, 3D modeling, surface reconstruction, image processing and high-performance computing.
You will understand the products and the customer needs.
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++, and integrate them into the application.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics
Participate in design reviews and code review of co-developers.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you.
:Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture.

As a Backend Developer, you will:
Research, design and develop innovative solutions
Develop ever-changing backend infrastructure
Interact with cutting-edge technologies and services
Deliver E2E solutions.

Python Automation Developer - Microservices & Testing (6053) A leading technology company developing complex software solutions integrated with hardware is seeking an experienced Python Automation Developer.

we are a rising start-up that offers a new approach to B2B payment security. Our product protects the end-to-end business payment process from all threats, internal and external, across the entire payment flow making sure payments go to the right place seamlessly in real-time with the use of AI.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
As an RPA Developer, you will develop and maintain software solutions that automate business processes and lead initiatives related to the design and management of workflow automation projects.
Responsibilities:
Design, develop, and test automation workflows with various systems
Deploy RPA components, including bots, robots, developmental tools, code repositories, and logging tools.
Collaborate with cross-functional teams to define and deliver projects that meet business needs.
Work with stakeholders to capture business requirements and translate them into technical designs and strategies.
Troubleshoot production issues.
Support the launch and implementation of RPA solutions.
Create, maintain, and support existing robots.
Design and develop user interfaces for RPA interaction.
Develop and maintain RPA framework libraries.
Produce test documentation and carry out testing of automated solutions.
Create process and end-user documentation.
Assist with quality assurance of the automation.
Drive the adoption of best practices around coding, design, quality, and performance.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.