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Were looking for an experienced Automation Engineer to join our QA Automation team and help shape the future of quality. In this role, youll play a critical part in developing innovative testing systems for our SaaS productensuring every release is fast, reliable, and built to scale.

Responsibilities
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

our company's Network Management Group develops the core software applications that manage and monitor NVLink and InfiniBand networks. Our applications handle critical tasks such as routing configuration, access control, resource management, and network error detection and recovery. These applications power the world's most advanced supercomputers and form the backbone of infrastructure for leading AI training workloads.
We seek an experienced Software Engineer eager to contribute to system design, implementation, and automatic tests.
What you'll be doing:
Design, develop, and optimize a user-space server application, written in C++, responsible for handling large-scale InfiniBand/NVLink networks.
Collaborate with multiple teams to develop new features/improvements in our multi-functional environment.
Improve and maintain automatic test systems written in Python.

We are seeking an experienced Program manager to join our Program Management team as part of our product and engineering group.

The Program manager will own the squads delivery and processes reporting directly to the Director of Program Management, Collaborate with Development, Data Science, Research and Product teams to drive successful execution of squad deliverables. The Program manager will play a crucial role in driving the development and delivery of our advanced AI-driven cybersecurity solutions.



Responsibilities
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies. Your role will involve a deep commitment to software design, code quality, and performance optimization. As part of our Engineering team at Dream, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.

As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data. Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

we are looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.
What you'll be doing:
Design, Develop and Execute tests (manual and automatic).
Learn new networking standards, features and protocols and improve QA coverage
Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents
Collaborate with various team including project management, hardware, and software developers, provide technical analysis of bugs
Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity
Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency
Define and build setups topologies for appropriate product coverage.

We are seeking a highly skilled and experienced Team Leader to join our team. As a Team Lead, you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Leading and managing a cross-functional development team to design and develop the AppSec SAAS Platform from concept to deployment.
Mentoring and coaching team members on technical skills, career development, and best practices in software engineering.
Driving strategic technical decisions for both frontend and backend systems.
Collaborating with stakeholders across departments to gather requirements, define project objectives, and ensure alignment with product & business goals.
Overseeing the development of efficient and reliable frontend and backend systems using React, Java, and other related technologies.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Managing project timelines and resource allocation while ensuring optimal application performance, scalability, and reliability.
Establishing team standards for database design, query optimization, and data integrity practices.
Practicing quality assurance processes including code review, testing strategies, and debugging methodologies.
Fostering a collaborative environment that promotes knowledge sharing, continuous learning, and adherence to best practices.
Staying current with emerging technologies and leading the team's adoption of cutting-edge solutions, particularly in the GenAI space.

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.

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 experienced Firmware Engineer to join the NIC Firmware team at the Yokneam site. You will take part in leading a major development team in our Firmware group while taking part hands-on with development activities. The Firmware team develops cutting edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.
What you will be doing:
Lead a group of engineers and provide technical guidance and career mentorship to the team. Empower the team members to excel and increase team productiveness.
Work closely with the architecture and different software design teams.
Implement new features in the core of our company NIC firmware in pre and post silicon environment.
Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.
You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are looking for a Senior Go Developer with strong technical expertise, deep problem-solving skills, and a proactive, can-do attitude.
**Working in a hybrid model! ( two days from the office, three days from home. )**
What will you do?
Design and Develop scalable backend services for high-performance, distributed systems.
Troubleshoot and resolve production issues, ensuring reliability and efficiency.
Collaborate with cross-functional teams to integrate backend services into security platform.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

Were looking for an experienced infrastructure developer to join our QA Automation team. Youll be a key player in building an innovative automation platform for our SaaS product, ensuring our engineering quality reaches new heights.

You will focus on building, maintaining, and enhancing the infrastructure that supports test automation across both backend and frontend. You will be responsible for creating and optimizing tools, frameworks, and pipelines that enable the development and execution of automated tests. This position requires a strong technical background in automation infrastructure, CI/CD integration, and cloud technologies.

Responsibilities


Design, build, and maintain automation infrastructure that supports automated test execution for UI, API, integration tests and more.
Work closely with developers and QA teams to integrate automation tools into the CI/CD pipeline, ensuring automated tests run efficiently and reliably.
Manage the underlying infrastructure, including Docker, and cloud-based services, to ensure smooth operation of the test automation framework.
Create and optimize tools and scripts that facilitate the development and execution of automated tests (e.g., integrating with GitHub Actions, Jenkins, etc.).
Continuously monitor the performance of the test infrastructure, troubleshoot issues, and optimize the environment for speed and scalability
Promote and implement best practices for building and maintaining automation infrastructure, ensuring high standards for reliability and maintainability
Partner with DevOps, developers, and product managers to define automation strategies and enhance software quality.

We are seeking an experienced Production Engineer to join our SRE team as part of our Platform Engineering group. This role involves taking ownership of monitoring, deploying, and ensuring the reliability of production-grade modern SaaS platforms across Cloud and On-Premise environments.



Responsibilities
Lead initiatives to enhance product reliability and system readiness.
Design and implement sophisticated monitoring solutions to ensure high availability and performance of our production platform.
Oversee and refine the entire product reliability pipeline.
Proactively troubleshoot and resolve issues across production environments.
Champion an "Everything as Code" approach using a wide range of technologies including Ansible, Terraform, Helm, Python and more.
Develop advanced tools for automation, deployment, monitoring, and operations.
Exhibit excellent communication and interpersonal skills to effectively collaborate within the team and across departments.
Promoting best practices in reliability and system operations.

We are looking for a Senior DevOps Engineer. If you have a strong passion for building DevOps platforms and tools in SaaS at scale, you should strongly consider joining as a Senior DevOps engineer. You will participate in large-scale, cross-team efforts and work closely with R&D to provide the best DevOps solutions.
**Working in a hybrid model! ( 2 days from the office, 3 days from home. )**
Responsibilities :
Design, implement and manage cloud and containerized architectures in AWS and Azure
Design, develop and manage scalable systems with CI/CD in mind, to support multiple production environments and use cases
Tackle production issues and bring OOB thinking to the table
Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings
Be part of company SecOps operations

Our technology has no boundaries! we are building the worlds most groundbreaking and state-of-the-art accelerated computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest-paced computer users in the worldscientists, designers, artists, and gamers.
We seek a highly motivated Senior AI Network System Architect to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for a wide range of critical activities, from deep technical analysis and performance modeling to strategic architectural studies, ensuring our company continues to innovate and lead.
What Youll Be Doing:
Define, develop, and execute cutting-edge benchmarks and workloads to analyze system performance, identify bottlenecks, and drive optimizations across our hardware and software stack.
Drive the direction of our future products by performing deep-dive analysis of system architectures and solutions to assess their performance, efficiency, and value proposition.
Develop and validate sophisticated performance and network simulation models, correlating them with real-world hardware to predict and analyze the behavior of future systems.
Analyze and optimize the entire AI stack, including communication libraries (like NCCL) and system software to the underlying network fabric, developing Proof-of-Concepts (POCs) for new features and improvements.
Conceptualize next-generation networking architectures driven by emerging DL and AI technologies.
Collaborate with multi-functional teams, including other architecture teams, logic design, system software, firmware, and DL research teams, to ensure the successful execution of our vision.