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Our Field Applications team in Israel is looking for a highly motivated Field Application Engineer who will work collaboratively with the team as well as independently and develop test applications solutions for our customers.
Responsibilities:
Develop, debug, and deploy test solutions for semiconductor devices on ATE test systems (HW and SW).
Supporting test program correlations and release to production activities.
Actively engage with customers to develop new test techniques.
Troubleshooting of test issues and improving test methodologies.
Develop customer relations at a technical level.
Collect customer needs and requests, communicate to internal engineering team to develop new solutions for customer.
Work within the support of our worldwide application teams to coordinate project development and on time delivery of critical project milestones.

Join the Workload Availability team as a Software Engineer in Ecosystem Engineering.
Your core mission is to safeguard the stability and availability of mission-critical workloads on OpenShift by developing and integrating robust proactive and reactive remediation mechanisms.
You will focus on the complex challenges of node health checking, automated fencing, and self-healing within the cluster, ensuring these critical availability features integrate seamlessly with the diverse ecosystem of third-party hardware, cloud platforms, and infrastructure providers.
What You Will Do:
Maintain critical components, controllers, and operators (primarily in Go) responsible for detecting, diagnosing, and automating the recovery of unhealthy cluster nodes on OpenShift.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and software release process using Konflux CI/CD system
Develop intelligent node mechanisms to accurately determine a node's operational status and trigger the appropriate self-healing or external remediation actions.
Contribute upstream to projects that focus on Kubernetes-native machine and node remediation to advance the platform's self-healing capabilities.
Troubleshoot and resolve complex cross-ecosystem availability and reliability failures, requiring deep debugging into kernel-level behavior, cloud infrastructure APIs, and Kubernetes control plane logic.
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.

We are looking for Senior Software Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMS product line.

What you'll be doing:

The team develops infrastructure for monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and datacenters.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs.

Were looking for an innovative engineer to join our team and help build, optimize, and expand the capabilities of our Rust-based SAST engine.
This role involves close collaboration with a multidisciplinary team, contributing to the performance, functionality, and language support of the engine.
Key Responsibilities
Develop & Optimize: Enhance and maintain the Rust-based SAST engine, ensuring high performance and reliability.
Collaborate: Work closely with the SAST team to implement features and extend support for additional programming languages.
Design & Architecture: Participate in technical discussions, contributing to architecture and design decisions for the SAST engine.

We are seeking an exceptional Software Engineer to help design and build our next-generation Kubernetes based cloud platforms. Were looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure. Youll join a dynamic team developing high-performance computing infrastructure used in some of the worlds largest supercomputers and data centers. This is a fast-paced, collaborative environment where youll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.


What youll be doing:

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using our advanced technologies (GPUs, DPUs, ConnectX).

Contribute to our AI supercomputing platforms.

Collaborate with cross-functional teams to deliver new features and improve existing products.

Support, maintain, and document robust software systems.

We are seeking a dedicated Firmware Engineer to join our NIC Firmware Core team in Beer-Sheva/Tel-Aviv. You will contribute to the development of brand-new networking adapter technologies, elevating the performance of current and future NVIDIA devices. NVIDIA develops innovative and next-generation networking devices that are known for their outstanding performance and power efficiency. The position involves all aspects of firmware development, including design, micro-architecture, software interfaces, and verification. We are seeking a dedicated and motivated engineer who will contribute to the development of advanced technology Network Adapters. You will also have the opportunity to create features for leading cloud computing providers and high-performance computing networks.

What youll be doing:

Take a part in the design, development, test, debug, and optimization of low-level firmware layer on next-generation network adapters up to package release.

Analyze, integrate, support, and debug low-level firmware layer on verification environments.

Collaborate with firmware, software, and architecture teams to analyze, design, and debug legacy and new low-level firmware flow.

Improve our team processes including design and implementation of new methodologies, automated processes.

we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control team develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges focus on the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. In this position, you will take part in developing advanced control algorithms and software for SolarEdges state-of-the-art products. What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP, and communication over different platforms.
* Design, develop, optimize, TEST and maintain complex Embedded SW for power electronics and control systems in a multi processors environment.
* Develop software for various micro-controllers and coping with various rt constraints.
* Involvement in projects / products from end to end - from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW and working hand by hand with HW team.
* Interface with and support Hardware teams in testing, evaluation, and troubleshooting throughout the development cycle. This role requires an understanding of power conversion, Embedded systems, and Real-Time control algorithms.
Country:
Israel
City:
Herzliya

We are looking for outstanding candidates with hands-on experience in software development. If you are a team player with excellent communication skills and motivation to investigate state-of-the-art directions and revolutionize application performance, youre welcome on board!
What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

Were developing advanced cyber-defense technology that operates deep in the operating system where performance, reliability, and security converge. As part of our core R&D team, youll design and implement low-level components for Linux and Windows kernels, driving the intelligence behind our next-generation EDR/endpoint protection platform.
Youll work on complex OS internals, create innovative security hooks, and collaborate with researchers to transform detection ideas into real-world protection.
Responsibilities:
Design and develop Linux kernel modules/drivers (LSM/eBPF/net/FS/process monitoring).
Build high-performance, tamper-resistant agent components for large-scale endpoint deployment.
Own full development lifecycle: architecture, PoCs, implementation, testing, performance tuning, and deployment.
Investigate kernel crashes, performance regressions, and low-level bugs using tools like KGDB, and ftrace.
Collaborate closely with data scientists and security researchers to integrate detection logic and telemetry pipelines.
Participate in design and code reviews; mentor peers in systems programming best practices.

We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research

Our goal is to design cutting-edge CPUs for smartphones, servers, and desktops, and we need the very best talent to help us achieve it!
The CPU Architect will take charge of defining a processor on chip inter-connect and coherent fabric that meets the requirement of high performance, high bandwidth, and scalable processing architecture. This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.

We are looking for a Firmware Engineer to join the NIC Firmware team at the Yokneam site. 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:

Work closely with the architecture and different software design teams.

Implement new features in the core of our 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 committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

our company was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at our company offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

Central Applied Science (CAS) is a research and development team, working to improve our companys products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the company family of apps. The work we do enhances the company family of apps that enable billions of people to communicate with each other daily. Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at our company and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise. We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of our companys successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at our company. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our company's unparalleled data infrastructure.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.