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our company is a leading supplier of custom SOC and security hardware solutions for the computing and server markets. We are looking for a highly experienced CAD Engineer from the semiconductor industry to join Nuvoton as a key contributor. In this role, you will help modernize and upgrade our design environment, EDA infrastructure, and in-house CAD tools to support advanced technology nodes, improve engineering efficiency, and enable future growth. You will also play a key role in supporting the design and verification activities of current and future semiconductor projects.

we are looking for a AI Algorithm Tech Lead.
This is a role in core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

Required Systems Service Engineering Manager
Job Description Summary
The Systems Service Engineering Manager - Molecular Imaging, is a key member of the Systems Engineering leadership team responsible for leading the Service Engineering team across Molecular Imaging product platforms. This role drives Design for Serviceability (DFS), service strategy, diagnostics, installation, calibration, maintainability, reliability, and field support readiness throughout the product lifecycle. The leader manages a team of Service Engineers and partners closely with Systems Engineering, Product Management, Quality, Manufacturing, Reliability, and Global Service teams to deliver highly serviceable, reliable, compliant, and customer-focused solutions.
Job Description
Lead and develop a high-performing Service Engineering team supporting Molecular Imaging products and platforms.
Drive Design for Serviceability (DFS) requirements and ensure service considerations are integrated into system architecture and product design.
Ensure establishment of service requirements, traceability, verification, and validation plans across the product lifecycle.
Drive service engineering strategies related to installation, calibration, diagnostics, preventive maintenance, field modifications, upgrades, and repair.
Partner with Product Engineering, Systems Engineering, Quality, Regulatory Affairs, Reliability, Manufacturing, and Service Operations teams.
Lead service engineering team activities across multiple new product introduction (NPI) and sustaining programs.
Drive resolution of complex field issues and product serviceability challenges.
Develop technical roadmaps that improve service efficiency, uptime, product quality, and customer satisfaction.
Champion continuous improvement, harmonization, and adoption of engineering standards and best practices.
Manage resources, priorities, and technical execution across multiple programs.
Coach, mentor, and develop engineering talent while fostering a culture of accountability, innovation, and customer focus.
Influence strategic technology decisions and support business planning activities.

Required Lead Program Integrator
Job Description Summary
The Lead Program Integrator (LPI) leads major initiatives within the Program Office, holding end to end ownership of the Install Base (IB) projects and supports the Program Manager.
The role drives day to day execution while establishing strong planning, governance, and controls to ensure successful delivery of multiple IB-related projects.
Partnering with cross functional teams across engineering, manufacturing, quality, regulatory, supply chain, and service, the LPI ensures products meet business, performance, compliance, and launch readiness requirements. As the central integrator and decision maker, the LPI aligns stakeholders, manages trade offs, and turns strategy into results.
The role drives day‑to‑day execution and ensures effective planning, governance, and delivery of complex POCUS programs. Working with cross‑functional teams across engineering, manufacturing, quality, regulatory, supply chain, service, and clinical functions, the LPI ensures systems meet business goals, clinical performance, compliance, and readiness for deployment at the point of care.
Job Description
Roles and Responsibilities
Collaborate with Program Manager and leadership in delivering scope, schedule, cost, quality, and business commitments across the program
Own program milestones, driving closure of deliverables and actions
Coordinate cross‑functional teams to ensure aligned execution across engineering, manufacturing, quality, regulatory, supply chain, and service
Lead design transfer to enable smooth transition from development to manufacturing and launch
Identify, manage, and mitigate program risks and issues, ensuring timely resolution and continuity
Establish clear governance, planning, and communication rhythms to drive alignment and accountability
Support the Program Manager and leadership to ensure regulatory compliance and business objectives are met throughout the program lifecycle.

we are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets
Responsibilities:
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.