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.
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