MediaTek
Engineer/Senior Engineer for AI/Machine Learning
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Hsinchu, North District, Hsinchu City, Taiwan
Work mode:
Onsite
Published on:
14 September 2026
What they need
We are seeking an expert with deep understanding of both AI and chip design, capable of applying artificial intelligence technologies to enhance productivity and product quality in chip design processes. This position requires solid knowledge of IC design and expertise in machine learning/generative AI to proactively identify and define innovative opportunities, design feasible and robust solutions, and optimize design workflows. Experience in chip desing flow optimization or digital design is a strong plus. We welcome engineers and data scientists who are passionate about cross-disciplinary innovation, enjoy working with complex data to uncover insights, and are eager to tackle challenges. As a key member of our small and versatile team, you will deliver the most suitable AI solutions for MediaTek’s chip design processes through rapid iteration. In terms of soft skills, you should have a strong ability to continuously learn and adapt, excellent verbal and written.
Main Requirements and Qualifications
- Familiarity with machine learning, deep learning, or generative AI technologies, and the ability to apply them to chip design processes.
- Strong programming skills, proficient in Python, C++, or related languages.
- Ability to analyze complex data and identify opportunities for process optimization or automation.
- Excellent cross-functional communication and collaboration skills, able to work with design, process, and AI teams.
- Proactive learning and problem-solving abilities, with a passion for taking on new challenges.
- Strong verbal and written communication skills in both Chinese and English.
- Experience in IC design flow optimization or digital design is a strong plus.
- Experience in AI model deployment, validation, or optimization is a plus.
- Experience in project management or rapid prototyping is preferred.
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