Senior Principal Engineer, Product Marketing (Technical Specialist, AI)

Job Purpose

We are seeking an expert-level Technical Specialist in Artificial Intelligence to lead innovation activities and technical development within the organization.

The incumbent will operate with a high degree of autonomy and self-direction, driving the design, development, validation, and integration of complex AI-based solutions in a semiconductor industrial and technological environment, ensuring strategic alignment with company standards, engineering practices, and quality requirements.

The position requires profound technical mastery, power semiconductor process know-how, a structured and analytical mindset, and the independent capability to guide and influence cross-functional and international teams. The successful candidate will be proactive, solution-oriented, and able to autonomously oversee both experimental research and large-scale industrialization activities.

Main Responsibilities

• Independently architect, develop, and validate advanced Artificial Intelligence and Machine Learning solutions for critical technical applications. 
• Autonomously analyze highly complex functional and technical requirements and translate them into scalable AI use cases and strategic roadmaps. 
• Lead and take full independent ownership of the integration of sophisticated AI models into enterprise systems and workflows. 
• Partner with engineering, data, and product leadership to define robust, secure, and scalable technical solutions. 
• Own model performance evaluations and independently define overarching optimization and governance actions. 
• Direct proof of concepts, advanced prototypes, and end-to-end industrialization phases with minimal supervision. 
• Ensure compliance with internal procedures, quality standards, and industry best practices, acting as an autonomous technical authority. 
• Prepare comprehensive technical documentation and present strategic results to senior management and stakeholders.

Required Qualifications

• Master’s Degree or Ph.D. in Computer Engineering, Electronics, Data Science, Computer Science, or a related discipline. 
• Minimum 10 years of experience in the semiconductor industry, with senior/principal-level technical contributions and demonstrated autonomy in managing priorities, ambiguity, and tight deadlines.
• Advanced knowledge of power semiconductor processes, combined with authoritative knowledge of Artificial Intelligence, Machine Learning, and Data Analytics.
• Deep expertise with AI frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent at an enterprise scale. 
• Advanced programming and software architecture skills in Python, C++, or similar languages. 
• Comprehensive mastery of data preparation, complex model training, validation, and large-scale deployment. 
• Exceptional analytical, troubleshooting, and problem-solving skills for highly complex technical challenges. 
• Strong communication skills to communicate complex technical concepts clearly to non-technical leaders. 
• Exceptional ability to operate with profound autonomy, requiring minimal supervision to drive complex end-to-end technical lifecycles and influence a matrixed team environment. 

Preferred Qualifications

• Proven track record in deploying embedded AI, edge AI, or industrial AI solutions at scale. 
• Advanced knowledge of cloud environments, distributed architecture, and MLOps practices.
• Deep familiarity with software development processes, version control tools, and agile technical leadership. 
• Extensive experience navigating and leading within complex international technical environments. 

Personal Profile

• Strong executive-facing communication and interpersonal skills. 
• Proactive, curious, and innovation-driven mindset with a strategic outlook. 
• Self-directed and highly autonomous, with a high-level ability to manage competing priorities, navigate ambiguity, and deliver under tight deadlines.
• Uncompromising commitment to quality, precision, and continuous organizational improvement.