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We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.
What will you do?
Lead the team which defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Drive and consistently improve radar performance
Identify key areas of Next Generation improvements, recommend research directions and system solutions
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.
What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform
Participate in SW architecture design and perform signal processing algorithm porting & optimization
Address real-time constraints in a challenging memory/compute bound framework
Be part of a goal-oriented workgroup and dynamic research & development environment
Work in close collaboration with CTO and SW architecture team

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.
You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.
Key Responsibilities:
MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration:
Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

Deep Research and Development for top notch technology in the Windows OS environment.
Windows Kernel Mode/User Mode development (C/C++).
Cyber Security oriented development.
Working as a team member as well express innovation, broad view and opportunity to influence and create tremendous value.

We are looking for an ambitious, experienced Senior Frontend Architect to join our team.
The job includes responsibility for a Distributed CI environment, Micro Frontends Platforms, and Qualify and Efficiency leadership in our teams.
Our project is one of the most strategic and ambitious projects in the intelligence community, aiming to change Israel's view towards our enemies.
If you are an expert in the different Frontend technologies and passionate to create great future platforms, this is right position.

Our team is looking for a Deep Learning Engineer.
We are one of the few companies to have trained multi-billion parameter Large Language Models (LLMs), a feat that involves the most advanced engineering (large scale distributed training on thousands of cores). Serving these LLMs efficiently requires cutting-edge technology as well. As a deep learning engineer on the team, you will be responsible for maintaining and improving our training infrastructure, developing/scaling/testing new ideas, and adapting our code to run on and best utilize the newest and most advanced hardware accelerators.
Role and Responsibilities
Develop Large Language Models as part of our applied research projects and in support of our Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

We are looking for a talented and experienced Apple Platforms Software Engineer to join our team. In this role, you will take full ownership of a client application used by hundreds of thousands of users, working across the entire development lifecycle-from design to production.



Responsibilities

Own the end-to-end development of macOS/iOS client applications
Design and implement new features from scratch
Collaborate with DevOps to improve and maintain CI/CD and build systems
Research and adopt new technologies within the Apple ecosystem
Support the full application lifecycle, including releases and production issues
Work closely with QA, automation, product, and engineering teams

We are looking for a Senior Data Infrastructure Engineer to lead the design, build, and optimization of a modern data platform. The role involves hands-on work with cloud-based data technologies, building data lakes from scratch, and managing large-scale data pipelines while ensuring high performance, cost efficiency, and reliability. You will collaborate closely with data engineers, data science, analytics, and product teams to support business needs.



Key Responsibilities:

Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift
Develop and optimize large-scale data pipelines for batch and streaming use cases
Ensure high performance, scalability, and cost efficiency across data systems
Work with complex data workflows, AI models, transformations, and orchestration
Apply best practices in data modeling, monitoring, security, and governance

We are looking for a Senior Fullstack Engineer with deep expertise in React and Node.js to lead the architecture, performance, and quality of our fullstack systems. This is a highly hands-on role focused on building and scaling complex SaaS applications across devices and browsers, while working with modern AI-driven development tools.



Responsibilities

● Lead the architecture and development of fullstack web applications

● Build and maintain high-quality code using React and Node.js

● Optimize performance across frontend and backend systems

● Collaborate with product, design, and engineering teams

● Integrate AI-based development tools and workflows

A growing startup company, developing a cloud optimization product, is looking for a Senior Backend Engineer, who combines strong infrastructure expertise with scalable application architecture. In this role, youll own the full backend lifecycle-from designing robust REST APIs to managing containerized environments with Kubernetes-building resilient, high-performance systems.



Key Responsibilities

Design and develop highly available, scalable web applications (including DR scenarios).
Architect and implement secure, well-documented REST APIs.
Manage and scale containerized environments (Kubernetes/Docker Swarm).
Maintain clean, modular, and testable backend code.
Drive CI/CD automation and uphold high code quality standards.
Lead microservices architecture and backend design best practices.

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

We are looking for a talented Real-Time Embedded Software Engineer to join our Drive Team. You will develop new products, maintain existing ones, and contribute to the architecture of new features, working closely with hardware and algorithmic design teams.



Key Responsibilities:

Develop new products and sustain existing embedded software.
Design concepts and architecture for new product features.
Collaborate closely with R&D hardware and algorithmic design teams.

were shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team,[.
What You Will Do:
You will be responsible for the design, implementation, and support of infrastructure across cloud and on-prem solutions. You will also automate and streamline operations and processes to rapidly release reliable applications faster and more frequently.
You will build and maintain tools for deployment and testing in stable and scalable production environments, and also participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks.
Maintaining close interaction with our customers is required to deeply understand and address their needs, this will be a significant part of your role.