we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. As an AI system architect, you will design and build the AI infrastructure that powers Infinidat's internal engineering and data platforms. Working alongside our AI platform lead, you will architect the Full Stack - from air -gapped LLM inference clusters and RAG pipelines to the chatbot front door and MCP/Skills ecosystem that put these capabilities in the hands of R&D teams. This is a hands-on role for someone who thrives at the intersection of systems engineering, data infrastructure, and applied AI.
Responsibilities:
* Architect the Infinidat AI offering roadmap, in terms of HW, SW and AIOps
* Design the future products of Infinidat to maximize the AI offering in terms of performance, cost and power
* Architect and design on-premises LLM inference infrastructure, including multi-model serving on GPUs, high-core-count servers, systemd-managed services, context/throughput tuning, and network isolation for air-gapped deployments
* Design and extend Retrieval-Augmented Generation (RAG) pipelines - document parsing, chunking, embedding, governance definition, and hybrid vector Storage - for both document and source-code collections
* Build and maintain the internal AI platform architecture, including the chatbot front-door layer, model routing, an MCP/Skills marketplace, and data -sanitization boundaries between on-prem and cloud
* Develop internal Developer tooling and agentic coding workflows, integrating local model endpoints with editor and CLI-based coding assistants - Contribute to hardware evaluation and reliability modeling for server and Storage platforms, informing infrastructure decisions with quantitative analysis
* Establish operational discipline around security, reproducibility, and maintainability - favoring durable architectural solutions over per-case patches

Required Senior System Architect
As a Senior System Architect, you will:
Define and maintain the overall system architecture, ensuring scalability, reliability, security, performance and regulatory compliance
Develop long-term architectural roadmaps aligned with business objectives and regulatory requirements
Design scalable, resilient and highly available systems for data ingestion, processing, storage and presentation
Establish architecture standards, reference architectures, design patterns and technology selection guidelines
Evaluate new technologies and architectural approaches to improve system performance, maintainability and operational efficiency
Work closely with engineering, research, security and product teams to map solution requirements.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.

Responsibilities

Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.

Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.

Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.

Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.

Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We're looking for a top-notch Backend Engineer to join Infinidat's Big Data / AI Ops group. In this role, you'll design and build the services that power our data platform — developing scalable microservices, optimizing data pipelines, and working closely with large-scale storage and operational datasets.

Responsibilities:

* Design, develop, and maintain backend services and microservices in Python
* Build and optimize database queries and schemas, primarily on PostgreSQL and ClickHouse
* Develop and operate data-intensive services supporting big data and AIOps workloads
* Collaborate with cross-functional teams on architecture, performance, and reliability
* Write clean, well-tested, maintainable code and participate in code reviews

We are seeking an experienced Software Developer to join our IT Business Applications department. This team is responsible for developing and maintaining internal applications that support our business operations. The ideal candidate will have strong expertise in both .NET/C# and Python development, with a proven track record of building scalable cloud-based applications.
What Youll Do:
Lead and participate in the full application lifecycle, from requirements through architecture, development, and monitoring
Design and build scalable backend services and RESTful APIs
Develop clean, maintainable, high-performance code
Contribute to system architecture and cloud-native scalability
Collaborate with cross-functional teams to deliver new features
Apply modern development practices and participate in code reviews
Leverage emerging technologies, including AI tools, to enhance applications

Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s Core team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain Core backend services in C++ on Linux.
* Develop and optimize high-scale I/O flows, metadata management, persistence layers, and storage-related data paths.
* Maintain and optimize databases, caching, and configuration-management solutions for clustered environments.
* Develop infrastructure that serves user requests and integrates with higher-level system components.
* Investigate and resolve complex production issues while improving performance, scalability, stability, and resource efficiency.
* Collaborate closely with developers, architects, QA engineers, and product teams throughout the development lifecycle.

Nuvoton Israel is a leading supplier of custom SoC and security hardware solutions for the computing and server markets. As a well-established and independent design center, we collaborate closely with top-tier customers such as HP, Dell, Qualcomm, Microsoft, and Google to develop advanced solutions that secure, control, and manage our customers platforms. We are seeking a talented and experienced Chip Architect to join our team. The ideal candidate is a self-motivated, fast learner with a strong background in hardware and system architecture. This role requires a technology leader capable of driving multidisciplinary programs and working closely with customers and internal teams across the entire product lifecycle. Responsibilities:
* Translate customer and marketing requirements into detailed SoC architectural specifications
* Provide functional specifications for chip hardware design and embedded software development
* Lead architectural decisions and serve as a technical authority across cross-functional teams
* Collaborate with customers and marketing to refine product requirements and align on technical solutions
* Support design, implementation, and verification processes throughout development
* Participate in system debugging, root-cause analysis, and issue resolution
* Support post-silicon bring-up, system integration, and software enablement