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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.

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.

Joining our growing and versatile team, youll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Collaborating with experts across global design centers, youll drive impactful projects and help deliver Arms next-generation IP using the most sophisticated tools and methodologies.

As a verification engineer, you will make a difference by influencing the verification strategy and methodology, taking ownership of complex work packages and driving them to success.

Required Skills and Experience:

Meticulous attention to detail, ensuring high-quality verification that minimizes bug escapes.
Shown experience in block-level verification using UVM or similar methodologies.
Strong knowledge of coverage driven verification for complex designs.
Proficient in specifying, creating, and debugging SystemVerilog/UVM constrained-random testbenches.
Skilled in planning verification tasks and producing realistic effort and time estimates.

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.

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.

We are looking for an AI & Automation Engineer to design, build, and enable enterprise AI infrastructure and automation solutions.
This role focuses on AI architecture, workflow automation across IT and business applications, and monitoring, governance, and cost management of AI tools and agents.
You will work at the intersection of AI platforms, IT operations, and business automation, enabling scalable, secure, and cost-effective AI adoption across the organization.
Responsibilities:
Select and integrate AI tools, frameworks, and platforms aligned with enterprise IT standards.
Ensure scalability, security, reliability, and compliance of AI infrastructure.
Enable AI solutions from concept to production, including:
AI-powered IT tools
AI agents and copilots
AI services integrated into business applications
Collaborate with IT, DevOps, Security, and Business teams to deploy AI solutions smoothly.
Build reusable AI enablement patterns, templates, and best practices.
Automation of Workflows
Design and implement automation of IT and business workflows using AI and orchestration tools.
Integrate AI agents into:
IT operations (ITSM, monitoring, incident response)
Business applications and internal systems
Improve efficiency, reliability, and user experience through intelligent automation.
AI Monitoring, Usage & Financial Governance
Define and implement monitoring for AI systems, including:
Usage tracking
Performance and reliability
Model and agent behavior
Track and analyze financial usage and cost of AI tools, APIs, and platforms.
Establish governance frameworks for responsible and controlled AI usage.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

We are seeking a highly skilled and experienced multidisciplinary engineer with a strong background in system design to join our team. In this role, you will contribute to our upcoming projects and play a key part in the rapid expansion of the Ethernet market.
As a such, you will be responsible for developing high-speed digital and analog circuit boards used in Ethernet products. Your duties will include designing board schematics, overseeing PCB layout, and conducting lab . Additionally, you will be responsible for evaluating new hardware solutions, providing technical leadership in troubleshooting and reviewing schematics, layouts, and design for manufacturability (DFM), as well as managing components selection.

We are seeking an Embedded Software Technical Lead who combines strong hands-on development expertise with the ability to guide a team technically. This role involves leading the design and development of new features, ensuring code quality, supporting customers when needed, and fostering collaboration and continuous improvement across the organization.
Responsibilities
Engage in hands-on software development, debugging, and troubleshooting on embedded targets, working closely with the team.
Lead technical efforts for new features, ensuring reliability, scalability, and high performance.
Improve software quality by conducting code reviews, mentoring team members, and promoting best practices.
Provide customer support when necessary, addressing technical issues efficiently.
Encourage a culture of open communication and feedback within the team and across teams.

We are looking for a highly professional Technical Marketing Engineer (TME), to dive into our technology, master our lab and produce high-quality technical marketing content for our AI-infrastructure marketing campaigns. This position plays a crucial role in translating our engineering know-how into marketing content. It requires a blend of deep networking technical expertise, hands-on capabilities, strong communication skills, and a passion for translating complex technical information into compelling marketing messages that resonate with target audiences.
Responsibilities 
Collaborate with our research lab, engineering and delivery services to map technology, architecture, and deployment know-how.
Create high-quality content (reference designs, deployment and configuration guides, whitepapers, case studies, blog posts, demos etc.)
Support sales and channels in customers and partners' meetings.
Travel to support tradeshows, and customers and partners' events.

The world leader in Counter Unmanned Aerial Vehicles, (c-UAVs)/Counter Drone Technologies is seeking an experienced pre-sales engineer to join our growing Team. The pre-sales engineer will support the sales team and sales operations to drive sales opportunities, demonstrate our product, train our customers and sales team, provide technical assistance, and assist in achieving our sales goals.
Scope:
As a subject matter expert on our offerings, products, the pre-sale engineer will assist sales managers in qualifying customers technical requirements, demonstrating the technical and operational features of the product line, and answer all questions related to our products to the satisfaction of the customer. The pre-sale engineer will ensure proper handover of information to the Professional Services Team to prepare them for client engagements and project implementation by sharing knowledge gained about the customer environment, systems, and risk profile. The pre-sale engineer will also carry lessons learned from their activities and present these to the relevant product teams to supply input for the strategic direction of the product line.
Key Responsibilities:
Conduct in-depth hands-on product demonstrations and sales presentations
Lead technical responses to customer requirements, including RFIs, RFPs, solution descriptions, presentations, site surveys, training, and event support
Provide field feedback to help shape product development
Proactively shape the sales cycle, strengthen customer relationships, and contribute directly to achieving sales targets.

We are looking for a talented and experienced PHY system integration engineer with a can do attitude to join our growing, highly motivated and skilled PHY team. The system PHY integration engineer will work closely with the PHY algo group. The members of this
group are highly skilled, experienced individuals who are keen to pass on their knowledge. The team is responsible for learning and understanding of PHY algorithms and defining PHY system tests for analyzing, tunning and verifying these algorithms and full system
behavior and performance.
In this role you will work closely with Algo, SW, HW, RF and system validation teams and
be expected to work in a fast-paced challenging environment.
Responsibilities
Deep understanding of PHY algorithms
Planning and executing PHY system tests - Algo, HW, RF, SW
Tuning and verifying system features, performance and functionality
Building lab setups for these system tests and operating lab equipment
Independent debugging and analyzing results using MATLAB, Python or Excel

A successful, fast-growing, startup located in Raanana. We are looking for an experienced system engineer to participate and lead the development of a radio-based drone detection and mitigation system as part of the company products.
Responsibilities:
Lead features and platforms from ideas to releases.
Guide and participate in the research and analysis of both proprietary and standard radio communication protocols.
Define requirements and guide multi-disciplinary teams (SW, Algorithms, DSP, and FPGA) through implementation and debugging.
Analyze and define complex system behaviors, state machines, algorithms, and event-response logic, including radio link budget considerations.
Perform independent, hands-on debugging and optimization for system problem-solving using tools like MATLAB, Python, Excel, and other log analysis software.
Create and maintain comprehensive system-level documentation.
Gain a deep understanding of the full system to guide and support testing and validation teams, helping define methodologies, tools, and coverage strategies.