לוח משרות דרושים מתכנת Python

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XMCyber platform enables companies to rapidly prioritize andrespond to cyber risks affecting their business-sensitive systems. About the role: Are you a super-talent Senior Software Engineer with a deep passion for cybersecurity and a profound understanding of AI-driven attack techniques? We are looking for a highly professional and responsible R&D member to join our team. This role is for someone who thrives on technical challenges and is ready to leverage their expertise to identify, analyze, and defend against advanced cyber threat Responsibilities: As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:
* Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
* Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
* Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
* Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

We are looking for a bright, highly motivated Junior Software Engineer to join our core R&D team. You will work directly with veteran engineers and founders, gaining hands-on experience across our entire cutting-edge stack. This is an accelerated growth opportunity where you will contribute to the infrastructure securing the next generation of AI agents and SaaS ecosystems.
What Youll Do:
Feature Execution: Work across the full stack (React, Python, Go) to build and ship features that solve real-world security problems.
Data at Scale: Assist in developing and maintaining high-performance data pipelines using Spark, Iceberg, and Clickhouse.
Infrastructure & DevOps: Get hands-on experience with modern cloud infrastructure, learning to deploy and monitor services on AWS and Kubernetes.
Quality & Excellence: Write clean, maintainable code and participate in deep-dive code reviews to ensure our platform remains robust and scalable.
Rapid Learning: Quickly master new technologies and security domains, moving from guided tasks to independent ownership of components.

we are looking for a hands-on technical leader to own and advance the Planning & Control domain - the core of our driving intelligence responsible for decision-making, behavior, motion planning, and safe vehicle control. This role is central to our affordable autonomous driving stack, connecting perception, agentic reasoning, and real-time execution.
Why us? You will lead the domain that transforms perception into action - building the brain that makes autonomous driving smooth, safe, and scalable for millions of vehicles.
Responsibilities
Lead the design and development of Planning & Control algorithms for L2+ up to Eyes-Off autonomy
Build and mentor a top-performing engineering team (planning, control, robotics, embedded)
Develop motion planning, trajectory optimization, and behavior layers integrated with our digital twin and edge-AI stack
Own robustness, performance, and safety across the decision pipeline
Define clean interfaces between perception, prediction, world model, and actuation modules
Drive hands-on development, architecture, and code reviews
Work with system engineering, product, fleet, and OEM/Tier-1 integration teams
Establish validation methodologies, scenario-based testing, and fleet-feedback loops

We are looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership - from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.

Join the Blockchain Backend Infrastructure team and take a lead position in building and maintaining blockchain management platform. In this role, youll be responsible for building Fireblock's cutting-edge blockchain infrastructure while implementing high-throughput and real-time scalable software solutions.
What You'll Do:
Implementing modern BE applications and infrastructure in a microserices architecture, utilizing the latest technologies and development practices.
Deep diving into the latest blockchain technology, and becoming an expert in the fundamentals, protocols, and features of the blockchains.
Collaborating effectively with other developers, engineers, and other roles while showcasing independent problem-solving abilities.
Ensuring that the platform remains at the forefront of blockchain technology!

We are s looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.
What you will do:
Design and implement infrastructure for high-volume data processing
Continuously improve performance, cost, and reliability at scale
Collaborate with frontend teams on customer-facing features and applications
Work with stakeholders across the company to ensure data processes meet their requirements
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices

We're seeking an outstanding and passionate Software Engineering to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping our team and technology at the forefront of Fintech and AI.

If you have more front-end or back-end orientation, don't hesitate to apply.

What you'll do:

Be responsible (together with the team members) for the company`s platform, its up-time, architecture & scale.

Be part of building a high-scale and robust backend platform.

Work closely with company leadership, and iterate over core infrastructure.

Write high-quality and performant code following industry best practices and standards.

Experiment with new technologies, tools, and 3rd party frameworks. Utilize them to deliver state-of-the-art tech.

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

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.