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The Ecosystems Engineering group is seeking a Senior Integration Engineer to bridge the gap between cutting-edge Nvidia hardware and 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 accelerators are seamlessly orchestrated within OpenShift and Virtualization environments. If you are a "problem solver" who enjoys debugging the complex layers between a physical NIC and a virtualized AI workload, this role is for you.
What You Will Do
Lead the integration of Nvidia hardware (GPUs, DPUs) into the 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 OpenShift.
Develop integration patterns and "golden paths" for AI workloads, ensuring they meet strict performance and resiliency requirements.
Work closely with Product Engineering, Partners (Nvidia), 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 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.

We are looking for a top-notch DevOps Engineer who will work on our next first-to-market products and tackle highly challenging problems by building innovative, scalable solutions. This position will be based in our R&D office in the heart of Tel Aviv.

In this role, youll be responsible for building scalable pipelines handling billions of events per day, and building new customer-facing innovative products. We deeply encourage our engineers to develop a deep understanding of our industry and our customers and growth in their engineering skills. You will take part in our major projects and tackle complex problems in the realm of orchestrating a cost-effective and scalable architecture in our AWS stack.

Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!
Thanks for your interest in working on our team!
We are looking for a motivated Software Engineer II to join our team in Raanana.
You will have the chance to develop your own skills in a flexible and energetic work atmosphere with friendly and experienced colleagues. You will have helpful supervision, opportunity to learn, modern tools and flexible work culture.
If you want to be a part of our growing company that is driven by innovation and is focused on building a future together with our employees, consider applying.
Principle duties and responsibilities
The position will involve working in the Research & Development team for our company, Oscilloquartz team in Raanana.
Engineer R&D Software will be an active part of software projects, i.e. do software design, software implementation / coding, unit testing and integration testing. Demonstrated ability to work as part pf existing SW team.
Read System documents, Participate in design reviews.
Work with R&D supplementary tools. Using test equipment.
Other duties as required.

We are seeking an experienced Software Team Leader to lead the design, implementation, and optimization of our graph compiler key backend functionalities. You will own and drive the development of compiler infrastructure that transforms high-level computational graphs into efficient, hardware-optimized execution flows. This role combines deep technical leadership with people management responsibilities.
Responsibilities:
Take full ownership of key components within the graph compiler backend. Lead, mentor, and grow a team of talented software engineers; set priorities, review designs, and ensure timely, high-quality delivery. Drive the definition and the implementation of backend compiler architecture to support various graph IR transformations, optimization passes, and hardware abstractions. Lead the identification and implementation of compiler-level optimizations to maximize performance and efficiency of workloads on target hardware. Drive clear and transparent work planning by balancing performance goals and time-to-market considerations, fostering a proactive can-do mindset across the team. Establish best practices for code quality, testing, documentation, and continuous integration within the compiler team. Work closely with frontend compiler, runtime, architecture and hardware design teams to ensure seamless integration across the software stack.

Lead the development of Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

we are looking for a Graduate Software Simulator Developer.
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++ 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 looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

we are looking for a R&D Project Manager.
In this role, you will be managing the MBBU projects involving multiple domains including: VLSI architecture, VLSI Design, VLSI verification, VLSI backend, Algorithms and Software. These projects include development of products like cellular modems, Communication Digital Signal Processors and Radar/Lidar baseband with a total of up to 100 R&D engineers involved.
This role is reporting to the MBBU General Manager.
Responsibilities :
Full ownership on all R&D projects of the Mobile Business Unit, including Software, VLSI and Algorithms tasks.
Direct management for the PMO

we are looking for a Senior Communication System and Algorithm Engineer.
In this role, you will engage in developing and implementing cutting-edge 5G technology and products.
Responsibilities:
You will be part of a team responsible for developing 5G modem with: 5G algorithms, 5G SW stack and HW modules, working closely with VLSI and SW teams. Excellent understanding of the cellular standards and the driven implications on Modem design. System and Algorithmic research considering the trade-offs between DSP/SW/HW, performance, implementation cost, real-time, and time-to-market. Managing system definitions, requirement and implementation from research to simulation level to an official release, including MATLAB/C/C++/System C modeling and specification document.

we are looking for a Senior Hardware Architect for Mobile broadband.
As a senior architect you will be a leader, someone who brings into the company new ideas and helps drive next generation wireless products
Responsibilities:
Be a leader in the Mobile Broadband team, architecting state-of-the-art modems for next generation cellular solutions. Investigate, invent, develop, innovate wireless modem components. Drive the implementation phase with the VLSI, Software and Algorithm teams.

we are looking for a Senior VLSI Design Engineer.
As a Senior VLSI Designer, youll lead the full design flow of advanced DSP cores and accelerator- from architecture to timing closure. This hands-on role is key to developing the IPs behind the next-generation products, with strong cross-functional collaboration and technical ownership.
Responsibilities:
As a Senior VLSI Designer, you will be responsible for the end-to-end design and implementation of advanced digital IPs, including DSP cores and hardware accelerators. You will work across the full design flow- from architecture definition and micro-architecture design, through RTL development and verification, to synthesis, timing closure, and static timing analysis (STA). Your work will directly contribute to the silicon success of next-generation products across various domains.

we are looking for a Software Simulator Developer.
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 looking for a SW Automation and Validation Engineer.
In this role, you will design, develop, and maintain automated tests and infrastructures to ensure the highest quality and reliability of our products.
You will work with Agile methodologies and engage with multiple programming languages, mainly C++.
Key Responsibilities:
Develop and maintain automated tests and infrastructures in C++. Validate software functionality against system requirements and specifications. Collaborate globally with validation engineers and software developers to learn new features and create corresponding test plans. Validate tests results and identify bugs. Investigate, document, and track bugs, working closely with development teams to ensure timely resolution. Continuously improve test coverage and test automation infrastructure. Use innovative and state of the art technologies in test automation and quality engineering.