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As a Senior Technical Product Engineer, you will play a key role in providing detailed technical information and strategic guidance to our partners, customers, and internal teams. You will serve as a subject matter expert on our Cloud SOC and Automation platforms, working across product teams to drive innovation and improvements. This role requires a self-starter who is eager to learn, experiment with new technologies, and address complex sales and technical challenges.
Key Responsibilities
Serve as a Subject Matter Expert (SME) for Cloud SOC, Automation (SOAR), and CNAPP, providing actionable feedback to Product Managers to influence the product roadmap.
Collaborate cross-functionally with Sales, Product Management, and customers to drive innovation and ensure secure, scalable adoption of cloud-native security solutions.
Lead complex projects that align with field-driven priorities, ensuring milestones and deliverables are tracked and met.
Design and deliver automation content, playbooks, and integrations that address real-world Security Operations Center (SOC) use cases and cloud security risks.
Support field teams (Sales, SEs) by building Proof of Concept (POC) plans, answering technical questions, and assisting with RFPs.
Proactively challenge the status quo by identifying and solving complex issues, establishing best practices for product improvements.
Advocate for best practices in securing modern application architectures using automation, contextual risk insights, and scalable cloud-native controls.

Your Career We are looking for a top-notch Senior software automation engineer to drive our test efforts across the company. As our engineer you will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. The job is deeply hands-on and requires a deep understanding of the product, the environments it runs. Your Impact Work closely with our engineering teams to understand business requirements Create detailed and well-structured test plans based on requirements and features crew meetings Design and writing the infrastructure and progression tests for new features Use your knowledge to perform thorough regression testing Identifying, reporting, documenting and tracking defect/bug issues Investigate, analyze and find the root causes for failed systems and software Ability to effectively communicate with all levels of the organization Excellent verbal and written communication skills Strong focus on customer satisfaction.

We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.

As an AI Solution Engineer, youll help shape how AI-driven automations are applied across our internal systems. Youll build and operate AI agents and workflows that connect data, tools, and processes, enabling teams across the organization to work more efficiently at scale.

Youll work closely with IT and platform stakeholders, as well as teams across the company, combining AI capabilities with automation tools, APIs, and code to deliver solutions that move from experimentation to reliable, long-term operation.

What will you actually be doing?
Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.
Collaborate closely with the IT team to ensure solutions align with enterprise architecture, security, and compliance standards.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

We are looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.

What you'll be doing:

Design, Develop and Execute tests (manual and automatic).

Learn new networking standards, features and protocols and improve QA coverage.

Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents.

Collaborate with various team including project management, hardware, and software developers, provide technical analysis of bugs.

Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.

Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency.

Define and build setups topologies for appropriate product coverage.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:
You will be responsible for complex physical design unit designs, ensuring integration within our innovative builds.
We expect you to run, debug, and approve PnR and verification flows across multiple projects, ensuring strict adherence to our high standards.
You will perform physical design implementation, planning and optimization, contributing to the development of our groundbreaking chips.

Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.

Our HW Sustain team in Israel is looking for an experienced board designer to join the sustaining engineering team . The team leads the HW sustaining of networking infrastructure for our next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity.

What you'll be doing:

You will take engineering ownership of networking products once they are released to production.

Provide engineering technical leadership for improving product availability, driving cost reduction, and resolving manufacturability issues.

Work on debugging and resolving HW related quality issues to improve customers' satisfaction.

We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at NVIDIA, you will have to work closely with NVIDIAs development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of NVIDIA products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing NVIDIA products

Build automated verification environment for high-end hardware and software which is at the forefront of innovation

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

We are seeking a DevOps Manager to lead a team of engineers in developing and supporting scalable CI/CD processes for our Networking products, enhancing global R&D efficiency. The role requires over five years of DevOps experience, leadership skills, proficiency with Jenkins, Git SCM, and programming in Python, Java, or Groovy. It involves collaborating with distributed teams to improve development methodologies and infrastructure. Preferred qualifications include experience with Linux system administration, containerization tools like Docker and Kubernetes, and managing complex infrastructure projects in fast-paced environments. Join us and help us to take our CI/CD infrastructure to the next level! You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of networking and data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What youll be doing:

Supervise a team of 4+ experienced and high motivated DevOps engineers.

Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

Build infrastructure for effective, high quality, reliable development and release processes for our products.

Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.

About the role
We are currently looking for an Implementation Consultant (m/f/d) to join our talented Polarion Services team in Israel. In this role you will be responsible for designing, developing, implementing, and supporting our ALM Product, Polarion.
You will have the opportunity to work on some of the largest ALM projects in the region, often within regulated environments.
A security classification is required for this position. Candidates with a valid, existing security classification are preferred.
We are happy to train you up in our market-leading ALM product.
This role can be based Airport City, Israel. Hybrid working is available, but you must be willing to travel to our customer sites.
How will you shape the world of tomorrow? Digitally and with a future-oriented mindset!
Participate in large Polarion implementation projects for Israeli customers
Understand the goals of the project workstream to which you are assigned, the breakdown of project tasks, and be able to explain the workstreams relationship to the overall solution
Design, configure, test, support data migration, and provide production and post-production support
Support knowledge transfer (deliver training courses, user guides, coaching of Polarion key users)
Provide ongoing troubleshooting and user support
Support the documentation and development of standard methodologies, Polarion best practices, templates, workflows, project structures, and the further development of our knowledge base
Work closely with technical and business stakeholders to align Polarion configuration with customer processes and compliance needs.