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We are looking for an experienced and creative AI processor VLSI Architect to architect and model the core of our next generation processors.

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 Micro architect will take charge in defining a processor Micro architecture features that will improve the performance and reduce the power consumption of the CPU core. This architect will use a performance simulator to explore his ideas and will analyze implementability of these features: Power, Timing, Area. This architect will utilize his processor and VLSI design experience to develop many advanced features for Huawei processors.

The CPU Architect will take charge in defining a processor core 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 skilled senior DevOps Engineer to join our Cloud Infrastructure team.
In this role, you'll be at the forefront of developing our companys platform engineering frameworks used by development teams.
Youll develop our platform engineering solutions, which enable our product teams to move (crazy) fast. Youll work on developing our Infrastructure as Code, maintain all Cloud environments from Dev to Production, enhance Observability, and proactively drive our infrastructure to remain at the forefront of technology.
We are a fast-moving company that encourages and values innovators, deep-divers, and out-of-the-box thinkers.
In this role you'll:
Develop Infrastructure as code using Pulumi and the kubernetes operators framework
Work on maintaining and enhancing multiple kubernetes cluster across multiple development stages
Maintain and enhance our development environment solutions
Maintain and enhance our monitoring and observability
Implement new infrastructure features for cutting-edge products to the latest industry standards
Provide guidance, tools, and support for dev teams on infrastructure-related issues
Participate in incident management, including root cause analysis and post-mortem reviews
Participate in on-call rotation for production support.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.

Were looking for a highly skilled and self-driven QA Engineer to join the Core Client team at our company. In this role, you will take substantial ownership of the quality, reliability, and performance of our Client Engage product, one of the key pillars of our companys platform, powering real-time, personalized digital banking experiences for major financial institutions around the world.
You will operate at the core of our technology, partnering closely with developers, product managers, and designers to define and execute effective testing strategies across complex, configurable UI components and multi-platform integrations. A major part of the role involves building and maintaining robust automated testing suites, ensuring long-term stability and efficiency as the product continues to scale.
This is a hands-on, high-impact position that goes beyond routine testing. You will help refine our processes, influence quality standards, and play a central role in driving a culture of quality within the team. Were looking for someone with strong experience, technical depth, and the confidence to take initiative, someone who can elevate our QA practices and help ensure our product meets the highest standards.
Responsibilities
Take full ownership of the QA process for the Client Engage platform, including both manual and automated testing activities.
Design, develop, and maintain comprehensive automated test suites using modern E2E and functional testing frameworks.
Validate complex UI components and interaction flows across web and mobile platforms, including technologies such as React, React Native, Swift, and Kotlin.
Plan and execute regression, sanity, and exploratory tests as part of the ongoing development cycle.
Verify cross-browser compatibility, responsive behavior, and accessibility compliance to ensure a consistent user experience. Work closely with developers, product managers, and designers throughout the feature lifecycle to ensure quality considerations are fully integrated into the process.
Maintain clear and structured test documentation and ensure proper issue tracking and traceability using tools such as YouTrack, Jira, or similar.
Contribute to the evolution of QA tooling, automation infrastructure, and test environment configurations.
Advocate for quality across the team, take part in retrospectives, and support continuous improvement of processes and standards.

In one sentence
Design and implement a modern software development lifecycle and CI/CD operating model augmented with agentic AI. Partner with engineering teams to assess current practices, identify pain points, introduce spec-driven and context-engineered workflows, and deliver practical tooling and PoCs that can be adopted at scale.
What will your job look like?
Assess existing SDLC, CI/CD, and operational practices; identify gaps, bottlenecks, and improvement opportunities.
Evaluate current AI-for-engineering assets and developer enablement maturity (assistants, agents, templates, guardrails).
Select, pilot, and operationalize AI tools for developers, CI/CD automation, and post-delivery operations.
Build PoC/MVP agentic flows and tools; define adoption patterns and hand over mature solutions to delivery units.
Participate as a thought leader in architecture and SDLC forums; define standards, patterns, and governance where needed.
Mentor teams and uplift engineering capability in AI-driven development, delivery, and operational readiness.

In one sentence
The company Data and AI platform is looking for a Software/ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on the Databricks platform, where Spark is at the heart of our implementation.
You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.
Youll need excellent technical skills along with strong communication and ownership.
We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.
What will your job look like?
Develop production-grade ML/LLM services and pipelines on Databricks, using Spark.
Design, implement, and maintain reusable preprocessing and feature engineering components.
Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
Build ML pipelines and model deployments using Jenkins and Databricks Asset Bundles.
Work closely with data scientists and engineers to translate research into scalable, maintainable production code.
Own features from design through production, including writing tests, documenting, and providing operational support.
Come to the office 3 times a week.

In one sentence
Join our companys cutting-edge amAIz development group, shaping the future of AI-driven solutions for the telecom industry.
We are looking for a dynamic and visionary Development Manager to lead a newly formed, high-impact development team within our companys GenAI & Data organization. In this role, you will manage a talented and independent team of developers focused on building innovative AI products and solutions using Generative AI, Machine Learning, NLP, LLMs, Cloud-native architectures, and microservices.
You will work at the pace of a startup, turning groundbreaking ideas into reality. Collaborate closely with Product Managers and System Architects to develop our companys AI product and deliver end-to-end, scalable, and secure solutions that will revolutionize the telecom industry.
What will your job look like?
Lead and mentor a team of skilled developers, fostering a culture of innovation and technical excellence.
Drive the development of AI-based products and platforms, leveraging Python, React, and modern frameworks like LangGraph and MCP, A2A protocols.
Collaborate with global cross-functional teams, including Product Management and Architecture, to ensure alignment and successful execution.
Operate in a fast-paced, agile environment, balancing multiple priorities and delivering high-quality results.
Champion best practices in CI/CD, DevOps, containerization (Docker, Kubernetes), and cloud deployment (AWS, Azure, GCP).

In one sentence
we are a global leader in software and services for communications, media, and digital enterprises. As AI reshapes the future of software, we are harnessing its power to transform networks, IT systems, and business operations.
We are building a pioneering AI Evangelist team, and we are seeking a leader who will shape the vision, strategy, and execution of this group. This role combines technical depth, strategic thinking, and people leadership to accelerate AI adoption inside our company and establish us as a thought leader in the global AI ecosystem.
What will your job look like?
1. Strategic Leadership & Team Building
Define and execute the strategy for AI Evangelism and Enablement across our company.
Build, manage, and scale a high-performing team of AI Evangelists.
Attract, hire, and develop top talent; foster a culture of innovation, collaboration, and continuous learning.
Set clear goals, measure impact, and align team efforts with our companys broader AI transformation agenda.
2. Internal AI Enablement
Partner with engineering, product, and business leaders to embed AI/GenAI tools and workflows into the delivery lifecycle.
Establish organization-wide standards, best practices, and frameworks for AI-assisted development.
Build and nurture internal communities of practice to ensure responsible, scalable adoption of AI.
3. Hands-on Innovation
Guide pilots, prototypes, and proof-of-concepts to demonstrate business impact of AI.
Provide architectural direction for integrating LLMs, AI services, and automation frameworks at scale.
Balance strategic oversight with occasional hands-on contributions to showcase technical credibility.
4. Knowledge Sharing & Capability Building
Drive the development of training programs, workshops, and enablement content.
Mentor Evangelists, Engineers, and Analysts, ensuring they are empowered with skills and confidence to apply AI in real-world contexts.
Establish metrics to measure the adoption, impact, and maturity of AI practices across the company.
5. External Advocacy & Thought Leadership
Represent our company externally at industry events, customer forums, and developer communities.
Publish articles, whitepapers, and open-source contributions that highlight our companys innovative AI adoption.
Identify external trends and translate them into actionable opportunities for our company.

In one sentence
As AI reshapes the future of software, we aim to harness its power to transform the way networks, IT systems, and business operations are built and managed. We seek a visionary and hands-on AI Evangelist & Enablement Lead to join our company.
This is a unique hybrid role that combines deep technical expertise with a passion for teaching, enabling, and advocacy. As a member of the company agentic AI office. you will join our internal team of champions for AI-driving the adoption of Agentic and Generative AI across our company engineering and product teams, while also positioning our company as a thought leader in the global technology ecosystem.
What will your job look like?
Internal AI Enablement & Strategy
Partner with engineering and product development teams to integrate and optimize AI/GenAI tools throughout the software delivery lifecycle, from coding and testing to deployment and operations.
Define and champion best practices, coding standards, and standardized workflows for AI-assisted development across the organization.
Establish and lead an internal AI community of practice, fostering a culture of innovation, knowledge sharing, and responsible AI adoption.
Hands-on Implementation & Prototyping
Lead the evaluation, piloting, and integration of new AI development platforms (e.g., advanced coding assistants, MLOps frameworks, internal LLM deployments).
Build proof-of-concept projects and reusable AI components to showcase the value of emerging technologies and architectural patterns.
Design and document robust frameworks for leveraging AI services with a focus on scalability, performance, security, and cost-effectiveness.
Knowledge Sharing & Education
Create and deliver hands-on workshops, tech talks, and practical tutorials on topics like prompt engineering, AI-powered debugging, and integrating LLMs into production workflows.
Develop an internal knowledge base with code samples, case studies, and technical documentation to empower engineers to adopt and scale AI independently.
Mentor engineers and team leads, helping them grow their skills and confidence in applying AI to complex telecom and enterprise challenges.
External Evangelism & Thought Leadership
Represent our company as a technical expert at industry conferences, customer events, and developer communities.
Publish technical blog posts, whitepapers, and open-source contributions that showcase our companys innovative use of AI in the telecom and enterprise software domains.
Stay at the forefront of the rapidly evolving AI landscape, bringing back insights and opportunities to the organization.

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.