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Nuvoton Israel is a leading supplier of SoCs, microcontrollers and security hardware solutions for tier-1 customers in the computing and server business. A self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. Our products combine unique sets control, management, and advanced security solutions, enabling our customers to establish differentiation in their end markets. We are looking for a Chip Design Verification engineer to join our Verification team! This is your opportunity to have an impact on the design of millions of computers sold worldwide each year by leading brands.
The role includes: - Building complex verification environments - Meeting the challenges presented by state-of-the-art design - Continues professional growth using the most advanced tools and methodologies - Use AI for improved productivity

As a Principal Software Engineer will:
Lead the technical direction and architecture of business-critical initiatives across Microsoft Security.
Drive the design of large-scale, resilient, and secure distributed systems that serve millions of users.
Contribute to business-critical initiatives in Microsoft Security
Will improve the end-to-end lifecycle of services
Analyze complex system behaviour, and apply modern engineering practices to streamline deployments and reduce costs.
Tackle highly ambiguous, complex problems that span multiple domains, and turn them into clear technical plans and execution paths.
Improve the end-to-end service lifecycle, including reliability, scalability, security, operational excellence, and cost efficiency.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
Partner closely with engineering, program managers, and security experts to drive impactful outcomes for Microsoft Security customers.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of our architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.

Responsibilities -

Business Impact,

Customer Centricity,

Partner Specialization,

Technical Leadership.

We are seeking a Senior AI Product Manager to lead the strategy and execution of enterprise-grade Edge AI solutions for our Adaptive Cloud and Azure Arc customers.

The ideal candidate is highly technical, hands-on, and comfortable engaging deeply with customers, including leading technical PoCs, requirements discovery, architectural discussions, and solution validation. You will bridge customer needs, engineering execution, and go-to-market strategy to ensure successful adoption of Edge AI solutions across industries such as manufacturing, retail, media, and IoT.

We are a global organization; this role involves close collaboration across time zones and regular direct engagement with enterprise customers and partners, both remotely and on-site.

Responsibilities

Product Strategy & Roadmap
Own the product vision and roadmap for enterprise Edge AI capabilities, with a strong emphasis on scalability, security, reliability, and operational excellence.
Identify B2B customer pain points through direct engagement and translate them into clear, actionable product requirements and priorities.
Balance customer-specific learning with building repeatable, platform-level capabilities.


Hands-On Execution & Delivery
Work closely with engineering to define, design, and deliver Edge AI features, from concept through production.
Act as the product owner for end-to-end customer scenarios, ensuring requirements are well understood and technically feasible.
Lead and support customer-facing technical PoCs, including defining success criteria, validating architectures, and incorporating learnings into the product roadmap.
Ensure solutions align with Responsible AI, security, privacy, and enterprise compliance standards.
Drive orchestration and lifecycle strategies for AI workloads in highly distributed, edge-based environments.


Enterprise Customer Engagement & Experience
Serve as a primary product point-of-contact for enterprise customers, engaging directly with technical and business stakeholders.
Lead requirements gathering, use-case definition, and solution discovery sessions with customers.
Partner with field teams to support pre-sales and post-sales product engagements, ensuring successful adoption and long-term customer value.
Capture customer feedback systematically and translate it into product improvements and roadmap adjustments.


Go-To-Market & Ecosystem Collaboration
Partner with sales, marketing, and business development to shape enterprise-ready positioning, messaging, and value propositions.
Support launch readiness, including pricing, packaging, and enablement for field and partner teams.
Work with strategic partners and customers to validate solutions and accelerate enterprise adoption.
Define and track success metrics across customer satisfaction, adoption, usage, and business impact.