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Were looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group.
What will you do?
Be a researcher of the core deep learning algorithms and communicate with other researchers.
Design and implement advanced algorithms to solve complex problems.
Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

We are looking for a Junior Validation Engineer to test the Machine Learning systems and the logics encapsulating them.
What will you do?
Reach validation of the Computer Vision algorithms and evaluate their performance under different environmental conditions.
Write test plans.
Create automation tools.
Perform manual testing and compare versions visually (side-by-side screenshots).

We're looking for a QA Engineer to join our team
What you will do:
You will have the opportunity to characterize and lead our testing strategy and lay down the foundation of our testing systems and processes.
You will be responsible for analyzing system requirements and manage the company testing activities accordingly.
You will work closely with our R&D teams to plan, write, and execute manual tests, including sanity, regression, functional, ATP, and stress testing ,integration / stability, analyze test results, find bugs and follow up during all their life cycle.

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.

Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the worlds most widely deployed GPU architecture Mali. As a Principal Verification Lead Engineer, youll guide the technical direction for complex GPU verification programs, mentor talented engineers, and influence methodologies that set the standard for our next-generation graphics processors. Your work will make a visible impact across multiple projects, ensuring that our technology continues to deliver outstanding performance and quality for millions of users worldwide.

What Youll Do:
Define and lead verification strategies for sophisticated GPU systems.
Shape and evolve verification methods and frameworks to improve coverage, scalability, and efficiency.
Anticipate challenges and design practical, forward-thinking solutions that help multiple teams succeed.
Lead the Technical Vision:
Take full ownership of end-to-end verificationplanning, execution, and deliveryfor advanced GPU components and subsystems.
Apply advanced techniques such as coverage-driven, random, and formal verification.
Be responsible for verification reviews, sign-offs, and integration of block-level and system-level environments.
Collaborate and Influence
Act as the primary technical contact across Architecture, Design, and Product teams.
Coach and mentor engineers, helping them grow their skills and confidence.
Chip in to continuous improvement in our verification tools, flows, and CI systems.
Innovate with Purpose:
Bring creativity and technical excellence to how we verify hardware.
Drive automation and efficiency through scripting and next-generation verification tools.
Represent our leadership in verification internally and externally.

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

we are looking for an AI Evangelist to lead the transition of our R&D organization to AI driven development and SDLC. The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimized the development experience and velocity, applying the new AI based development methodologies across our our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers  run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity
Train the trainer- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.

We are seeking a Senior Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the worlds largest financial institutions in the fight against financial crime.
Youll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, youll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.
How will you make an impact?
Design, develop, and maintain automated tests for backend systems and data pipelines.
Implement and manage a scalable testing framework to support continuous integration and delivery.
Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
Collaborate with developers and product managers to understand system architecture and business requirements.
Participate in requirements analysis, technical reviews, and test planning.
Identify, document, and track defects, drive resolution with development teams.
Monitor production environments, investigate anomalies, and push for timely fixes.
Ensure data health and correctness across systems.
Continuously improve QA processes, tools, and best practices.
Advocate for quality across the development lifecycle.

we are looking for a highly motivated Java Software Engineer to join our Cloud Analytics team! You will be taking part in developing a complex AWS-based architecture for large Organizations. The applications we develop are part of our company's offering, our cloud solutions suite which is deployed in multiple regions across the world and serves hundreds of customers.
How will you make an impact?
Develop the optimal microservice architecture using AWS technology.
Design and implement microservices in a Java Spring Boot environment.
Enhance product features through active participation in development.
Analyze feature requirements and create comprehensive design documents.
Review design documents with relevant stakeholders to ensure alignment.
Collaborate with the group to refine and iterate on feature designs.
Implement agile development methodologies to deliver high-quality features efficiently.

We are expanding our R&D capabilities and looking for a Python Software Engineer to join the SURVEIL-X Platform team.
This is an exciting opportunity for a developer with a few years of experience who is eager to deepen their expertise in cloud technologies, AI, and data platforms while working on a large-scale, mission-critical system.
What youll do
Design, develop, and maintain Python-based services within a distributed, data-driven platform
Build and maintain CI/CD pipelines and containerized environments using Jenkins, Docker, Kubernetes, and Helm
Develop and manage infrastructure-as-code with Terraform in AWS (S3, EC2, API Gateway, RDS, EKS, etc.)
Implement and integrate AI-based solutions, including RAG, Vector Databases, Embeddings, LLMs, and MCP
Develop automation scripts and internal tools to support deployment and monitoring
Integrate and support Kafka and other data streaming technologies
Collaborate in an Agile/Scrum environment, participating in code reviews and cross-team design discussions
Investigate and resolve complex technical issues across application and infrastructure layers.

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.

The Engineering team is looking for a Senior Integration Engineer to join our Edge Infrastructure Group.
In this role, you will be part of a team responsible for designing and implementing the container platform for enterprises and telecommunication companies and contributing to industry-leading technologies in the Kubernetes ecosystem.
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'll 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 applying Kubernetes and OpenShift to customer use cases
Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
Troubleshoot, analyze bug root causes, and provide resolutions
Review design, enhancement proposal, and patches from other team members and other collaborators
Work with various engineering team to ensure products are developed and tested correctl
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues

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 a global leader in wireless communication and sound systems for motorcycle riders and outdoor enthusiasts. Since 2003, weve been pioneering innovative technologies that keep people connected on the move. Our products are sold in over 100 countries and are recognized for their reliability, performance, and design excellence. We are seeking a highly skilled and analytical Organization & Methods Engineer (O&M Engineer) to join our Operations & Engineering Division. The ideal candidate will lead process optimization, digital transformation, and AI-driven automation initiatives to drive operational efficiency, scalability, and excellence across our global operations. This role is pivotal in shaping the next generation of smart, data -driven execution ensuring that every process, tool, and system supports our mission of operational excellence and innovation. Key Responsibilities: Evaluate, model, and optimize cross-functional operational & development processes across R&D, engineering, manufacturing, supply chain, and quality domains. Lead automation and IT enablement projects using advanced tools (Power Automate, Copilot, RPA, LLM-based assistants, etc.). Drive automations & AI adoption across operational processes, from predictive analytics and workflow automation to data -driven decision support. Establish KPIs, dashboards, and data models to measure productivity, throughput, and process maturity; implement lean and six-sigma methodologies where applicable. Identify cost, time, and resource optimization opportunities to achieve measurable improvements in efficiency and quality. Work closely with R&D, Engineering, Supply Chain, Quality, ESG, and IT to design and implement standardized, scalable, and digital-first processes. Support cultural adoption of automation and AI across teams through training, documentation, and structured implementation roadmaps.