We are looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics group. If youre passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
You will help design and develop large‑scale, AWS‑based systems that power the global CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.
How will you make an impact?
Design and implement scalable microservices using AWS technologies.
Develop high‑quality services in a Java Spring Boot environment.
Participate in the full feature lifecycle-from design to implementation.
Analyze requirements and create clear, comprehensive design documentation.
Review and refine designs with peers and stakeholders.
Collaborate closely with the team to iterate on architecture and features.
Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.

The Engineering team is looking for a Software Engineer to join our Telco engineering group. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication companies, contributing to industry-leading technologies in the Kubernetes ecosystem. In this role, you will help develop and implement cutting-edge new technologies and features. As a part of a geographically distributed team you will collaborate with multiple engineering teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies and open source.
What you will do:
Play an active role and contribute to multiple open source projects and communities like Kubernetes, OpenShift, Open vSwitch (OVS), and Open Virtual Network (OVN)
Develop and integrate changes in multiple projects to provide end-to-end solutions
Troubleshoot, analyze bug root causes and provide resolutions
Review design, enhancement proposal and patches from other members
Work with the quality engineering team (QE) to ensure projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks.

Required Software Engineer
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
As part of the PaaS/SaaS development group, you will be responsible for developing our new platform for Actimize Cloud-based platform.
The new PaaS will serve software developers for creating solutions that fight financial crime and will be used by the biggest financial institutes in the world.
You will be part of the group that builds the data and developer experience foundations. The group provides a solid platform for software developers, data engineers, and data scientists to create excellent analytics solutions fast and in scale.
The development will be done in an agile environment that generates working software automatically and frequently (CI/CD).  
We develop the platform from scratch and on top of AWS.
You will have a unique opportunity to work with cutting-edge cloud technologies and use them for building a cloud-based product that allows the world's biggest financial institutions to fight financial crime.
How will you make an impact?
Design, and develop technical solutions in a public cloud environment that satisfies business requirements
Work as part of the development team towards the application in an aggressive deadline
Fix bugs and care about enterprise-grade quality
Adhere to agile development principles while following and improving all aspects of the scrum process
Function as a subject matter expert in one or more product components
Pro-actively contribute to process improvement activities: maintain the system, troubleshoot problem, find, and fix bugs.

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced AI models such as GPT and DeepSeek. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:
Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
Research various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.
Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.

seeking a hands-on Embedded Software Technical Lead to play a key role in the design and development of firmware for our next-generation rider products. This role is focused on deep technical ownership, system -level thinking, and high-quality implementation, and is ideal for an experienced Embedded engineer with a strong algorithmic background and solid architectural understanding-who can also mentor and lead a small team of 2-3 Embedded engineers while remaining highly hands-on in day-to-day development. What Youll Do
* Take hands-on responsibility for the design and implementation of Embedded software architecture for new wireless communication devices (ARM Cortex-M, RTOS, ultra-low-power systems).
* Design, implement, and optimize complex Embedded algorithms, including Real-Time control flows, communication logic, and audio/ DSP -related pipelines.
* Write, review, and maintain high-quality, production-grade C / C ++ code.
* Contribute to system -level architectural decisions and ensure scalable, robust firmware design.
* Define and promote coding standards, design patterns, and best practices across the firmware domain.
* Act as a technical focal point for debugging, root-cause analysis, and performance optimization of complex issues.
* Lead a small team of 2-3 programmers/engineers: provide technical direction, help with task breakdown and prioritization, and ensure high-quality delivery.
* Mentor engineers through design reviews, technical discussions, pairing, and hands-on collaboration-raising the teams engineering bar.
* Work closely with Hardware, QA, Mobile App, Cloud, and Product teams to deliver integrated, end-to-end solutions.
* Participate in technical roadmap discussions and evaluation of tools, technologies, and wireless stacks.

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.

Spectrum-X is our ethernet networking solution for massively scaled AI factories. As the Spectrum-X Integration Engineering manager, you will lead a team to ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.

What you'll be doing:

Engaging directly with our customers to ensure we are aligned on their networking requirements.

Marshalling a cross-disciplinary team of architects, testers, customer managers, and other software teams to deliver products and features on time.

Defining and reviewing switch architectures and test plans.

Providing expertise on ethernet networking both internally and to customers.

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams - your place is with us!

What Youll Be Doing:
Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services).
Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement.
Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs.
Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability.
Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management.
Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible.
Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response.
Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and application layers.