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Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.

Were looking for a Backend Engineer to join our core R&D team in Tel Aviv - someone with strong backend fundamentals, experience in large-scale systems, and a modern, AI-assisted development mindset.

What Youll Be Doing
Help drive the adoption of AI-assisted development practices across the R&D organization by sharing knowledge, defining best practices, and leading by example.
Own and evolve core backend services in a mission-critical, AI-driven large-scale SaaS platform powering global enterprise operations.
Design, develop, and maintain production-grade backend services handling millions of real-time transactions daily.
Build and enhance algorithm-based (AI and others) components that support intelligent decision-making and real-time optimization.
Use AI tools as a first-class part of your daily development workflow - including design exploration, coding, refactoring, debugging, testing, and documentation.
Take part in architectural discussions and influence system design in a complex distributed environment.
Design and lead robust testing strategies to ensure stability, scalability, and security.
Explore and introduce new technologies, tools, and development patterns - with a focus on improving developer productivity, system quality, and delivery speed.
Collaborate closely with engineers, product managers, and data experts across global teams.

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

It starts with you - a senior AI engineer focused on building production-grade agentic systems: autonomous agents, MCP tools, agentic workflows, and rigorous evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design and build single- and multi-agent systems with planning, memory, and tool use.
Implement and operate MCP tools and servers with secure schemas and permissions.
Build agentic workflows using LangChain, LangGraph, or equivalent frameworks.
Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling.
Define and run LLM evals (quality, correctness, latency, cost, regressions).
Add observability and reliability (logging, tracing, retries, state management).
Optimize performance and cost; take systems to production.
Mentor engineers and establish agentic best practices.

Were looking for a Senior Full Stack Frontend-oriented Engineer to join our core R&D team in TLV - to lead frontend architecture, build highly responsive real-time experiences, and make a real impact on a high-performance, high-availability production environment.

Stuff youll be doing:

Own and evolve core frontend applications in a mission-critical, large-scale SaaS platform that powers global enterprise operations.
Design and build complex, real-time user interfaces that visualize and control large volumes of operational data.
Develop high-quality, production-grade code using modern React, TypeScript, and state management patterns.
Lead frontend architecture decisions in a monorepo environment, focusing on scalability, performance, and maintainability.
Collaborate closely with backend engineers, product managers, designers, and data teams to deliver end-to-end solutions
Define and drive front-end best practices - testing strategies, performance optimization, code quality, and developer experience.
Explore and adopt new technologies, tools, and patterns that improve frontend performance, reliability, and development velocity.

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design, train, and evaluate ML models for production use.
Build and maintain data pipelines for training, validation, and inference.
Own experimentation workflows: feature engineering, training runs, and comparison.
Implement model evals, monitoring, and drift detection.
Package and deploy models to production systems.
Optimize training and inference performance, cost, and reliability.
Collaborate with data, platform, and product teams.
Mentor engineers and promote ML engineering best practices.

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 our companys mission - this role is for you.
The 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.

We are on an expedition to find Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of our companys platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful.
The Responsibilities
Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders.
Plan, coordinate, and execute complex on-premises deployment projects.
Take a hands-on role in deploying our companys platform within customer environments.
Serve as the technical escalation point for issues related to product deployment and implementation.
Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices.
Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
The Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our company's Sensor.
This team owns the entire endpoint agent, which is the backbone of our companys collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.
The Responsibilities
Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
The Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

We are looking for an engineer with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for Amazon network cards.

You will take part in developing, integrating, and deploying advanced networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale.

As part of your role you will join a team of engineers who are developing software implementing our RDMA technology, for Machine Learning and High Performance Computing (HPC) customers.

Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale.
The role includes working closely with HW, FW, and SW teams all over the world.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.