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we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.

We are looking for a high-ambition engineer to join our team in Israel and own the
intelligence layer of our platform: the agents that analyze customer codebases, reason about
vulnerabilities, and produce remediations autonomously.
First and foremost, this is a senior software engineering role. You will design and build production services, write code across the stack, and own what you ship end to end - the AI agents are software, and you build the systems they run on. This is not a prompt-tweaking role: you will design multi-step agentic systems end to end - context engineering, tool design, orchestration, evaluation, and production monitoring - on a "zero legacy" stack (Python, Temporal, K8s, and frontier LLMs). We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.

we are looking for a Senior Backend Enginee.
As a key member of our backend team, you will act as a pragmatic builder who designs, builds, and operates the future of our platform from the ground up. We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.
Responsibilities:
Backend Development: Design and build high-performance services using Python, FastAPI, and asynchronous workers.
AI Orchestration: Develop and maintain complex agent workflows, including RAG pipelines and autonomous orchestration.
Infrastructure & DevOps: Own the full deployment lifecycle, including containerization and scaling workloads on Kubernetes (EKS).
Workflow Management: Utilize Temporal to ensure durable and reliable workflow orchestration.
Data Persistence: Manage PostgreSQL databases and write migrations using Drizzle ORM to support evolving platform needs.
Engineering Culture: Lead architectural discussions, participate in deep-dive code reviews, and drive incident response.

We're looking for an experienced AI Engineer to join our core team and design, build, and implement the autonomous AI agents that power revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Explore and prototype cutting-edge AI techniques to tackle our hardest challenges
Architect and develop autonomous AI agents that intelligently eliminate vulnerabilities during container image generation
Collaborate with product and engineering teams to bring AI-driven features from concept to production
Monitor and evaluate AI model performance, implementing feedback loops to continuously improve accuracy and reliability
Develop and maintain machine learning pipelines that process security data and generate actionable insights
Ensure AI systems are robust, reliable, and performant at enterprise scale

We're looking for a Backend Engineer to join our core team and help build the foundation of AI-powered, CVE-free container security platform.
Responsibilities:
Take responsibility for platform and infrastructure, building the core backend systems and services that power our revolutionary container security solution
Take ownership of the backend architecture, tech stack, and development processes, driving technical decisions across our factory's core components
Work closely with cross-functional teams to deliver high-quality software and implement best practices in backend development, API design, and system architecture
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery

We're looking for our first DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations

We're looking for an experienced Full Stack Engineer, focused on the frontend side to join our core team and help build the foundation of Echo's security platform.
Responsibilities:
Take responsibility for Echo's platform and infrastructure, building the frontend and backend experiences that make our revolutionary container security solution
Take ownership of the product, tech stack, and development processes, driving technical decisions across the frontend and backend
Work closely with cross-functional teams to deliver high-quality software and implement best practices in both frontend and backend development
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for an experienced Security Researcher to join our core team and deep dive into CVEs, conducting cutting-edge vulnerability research that directly powers Echo's revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Conduct deep-dive research into CVEs and vulnerabilities, analyzing root causes and attack vectors to inform our AI-powered prevention platform
Perform reverse engineering analysis using tools like IDA Pro, Ghidra, or similar platforms to understand complex security vulnerabilities and exploitation techniques
Research and analyze complex low-level system mechanisms including kernel vulnerabilities, network security issues, and operating system weaknesses
Think outside the box, challenge existing assumptions, and create innovative approaches to vulnerability research and prevention
Work in a unique environment where your research insights are rapidly implemented into our product, creating direct real-world impact from your vulnerability research
Contribute to Echo's technical knowledge base and help establish new methodologies for proactive vulnerability identification and mitigation

we are looking for a Senior Backend Developer.
This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power data platform, enabling reliable, scalable, and efficient data processing across the organization.
Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow
Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value
Design and build core micro-services, laying the foundation for our product and internal platforms
Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications
Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

In this role, as Senior Team Leader of the AI NPU Simulator, you will lead a Group developing a major part of AI simulation framework, in the core of our AI software offering. The AI NPU simulator enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company.

You will drive the development of robust, scalable, and efficient simulation software, working closely with global Architecture, VLSI, and Software teams to shape next generation of AI solutions.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading software teams, and a track record of delivering complex, state-of-the-art products on time and with high quality. The ideal candidate is execution-driven, innovative, and passionate about building high-performing teams and cutting-edge AI technology.



Responsibilities

Manage and lead two teams (Development + Validation) .

Be accountable for the simulation lifecycle, including architecture, development, validation, and release.

Lead development of advanced simulation models for AI processors.

Own delivery of complex, multi-release roadmaps.

Ensure strong alignment between hardware design, compiler behavior, and simulation models.

Drive system-level correctness and performance accuracy.

Support system bring-up, debugging, and customer-facing activities when needed

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 a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over AI computing processors.

Responsibilities

Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.

Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.

Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.

Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.

Represent with high technical credibility in customer meetings, appropriately incorporating feedback.

Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.

Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.

Engage with engineering leadership and product planning stakeholders to develop technology roadmap.