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The company engineering team is looking for a Senior Software Engineer to join our Telco engineering group. In this role, you will help develop and implement cutting-edge new technologies and features, deploy and manage OpenShift in various topologies on the edge, manage releasing of several OpenShift Operators, optimize our systems and ensure a seamless operator release process. In addition you will have the opportunity to work with brilliant engineers from all over the world, and collaborate with our company's QE, release, documentation teams and communities in an open source and agile development method.
What will you do
Develop, maintain and release OpenShift and Kubernetes features, focusing on performance and low latency
Propose and review design, enhancement proposal for platform related topics
Work with upstream communities, contribute code,reviews and expertise
Collaborate with the quality engineering and performance teams ensuring that their requirements are met to deploy and test the OCP deployment and configuration changes while meeting market demands
Plan and prioritize your work to complete timely in the Openshift release cycle.

The company Ecosystems Engineering group is seeking a Senior Integration Engineer to bridge the gap between cutting-edge partner accelerator hardware and our companys open-source software stack. This is a highly technical, "hands-on" role for an engineer who thrives at the intersection of the Linux kernel, virtualization, and high-performance networking.
Rather than focusing purely on application logic, you will be responsible for hardware enablement and system-level integration. You will ensure that GPUs, DPUs, and other edge accelerators are seamlessly orchestrated within our company Enterprise Linux, our company OpenShift and Virtualization environments. If you are a "problem solver" who enjoys debugging the complex layers between a physical and a virtualized AI workloads, this role is for you.
What You Will Do
Assist with integration of partner accelerator hardware (GPUs, DPUs) into the company ecosystem, ensuring drivers, firmware, and orchestration layers work in harmony.
Build and optimize solutions using KVM, QEMU, and libvirt to ensure high-performance hardware pass-through and abstraction.
Design and implement robust networking paths using Advanced Software Defined Network (SDN) and Virtual Networking
Act as the technical bridge between hardware-level drivers and cloud-native platforms like Kubernetes and our company OpenShift.
Develop integration patterns and "well lit paths" for AI workloads, ensuring they meet strict performance and resiliency requirements.
Work closely with Product Engineering, Partners, and Customers to root-cause complex issues across the entire stack (Hardware → Kernel → Hypervisor → Container).
Create architectural blueprints and implementation guides for field engineers and lighthouse customers.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

The company Engineering team is looking for a Principal Software Engineer to join our global team In this role, you will work as part of a global software development team to design, architect, and implement future virtualization and infrastructure solutions for our company OpenShift. Your main responsibilities will be related to our company OpenShift and OpenShift Virtualization solutions, you will work as part of a distributed team both on your own and in close collaboration across our company's platform engineering teams.
At our company, our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. workers embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
What you will do:
Design, develop, and implement virtualization related solutions for our company's next-generation platforms, based on our company OpenShift and thus Kubernetes
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI) and continuous delivery (CD), and respond to security threats (CVEs).
Leverage AI for boosting your own productivity.
Participate in, lead, and create upstream networking project communities, including contributing new development work and existing features and fixes for projects like Kubernetes, Kubernetes descheduler, KubeVirt, and Forklift
Use your deep virtualization and Kubernetes expertise to help customers solve complex business problems with creative solutions.

The company Engineering team is looking for a Principal Software Engineer to join us in the Ra'anana office, focusing on the sovereign cloud project. In this role, you will design and build a high-scale, multi-tenant cloud platform that abstracts complex isolation, quota management, and jurisdictional compliance into a seamless experience-powering sovereign OpenShift-as-a-Service, VM-as-a-Service and Model-as-a-Service (AI) offerings. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, our company OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our company's Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

The company Ecosystems Engineering group is seeking a Senior Software Engineer to join our rapidly growing team. In this role, you will be a key contributor to the bridge between cutting-edge hardware and world-class open-source software. You will focus on the technical implementation and productization of next-generation AI solutions, ensuring deep integration between the company software stack and Nvidias hardware acceleration technologies.
You will work within a diverse team of engineers, collaborating with product teams and partners like Nvidia to ensure our companys AI and Cloud offerings remain the industry standard for performance and reliability.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our company's innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do
Lead the development and integration of new features for our company AI & Cloud, utilizing Nvidias cutting-edge technologies (GPUs, DPUs, and more).
Write and optimize code that integrates hardware accelerators into the company portfolio, ensuring high performance for AI/ML workloads.
Take ownership of project modules, ensuring they meet rigorous non-functional requirements such as security, resiliency, and maintainability.
Partner with UX, UI, and QE teams to build seamless user experiences for our partners and customers.
Maintain high code quality through rigorous peer reviews and automated testing (CI), and proactively address security vulnerabilities.
Coach and guide junior and mid-level engineers, sharing technical knowledge to foster a culture of continuous learning.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.

We are looking for a highly skilled Full Stack Developer with 5 years of experience in software development, proficient in Python and React. A passion for creating complex features and solving complex problems, as well as designing and architecting business solutions.
About The Role
Design, develop and maintain high-quality web applications using Python and React.
Develop and maintain clean and efficient code
Troubleshoot and debug issues as they arise
Optimize applications for maximum speed and scalability
Participate in the entire software development life cycle, including planning, design, development, testing, and deployment
Collaborate with product managers, designers, and other developers to identify and solve complex problems
Continuously research and evaluate new technologies to improve the product and the development process.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.