Senior Autonomy/AI Research Engineer

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Senior Autonomy/AI Research Engineer

Hybrid- San Jose, CA office 3/2

Tokyo Electron (TEL) is a leader in semiconductor manufacturing equipment. We provide key parts of the manufacturing process for the world’s largest foundries. TEL Technology AI and Design Inc is our Silicon Valley AI lab, where we do groundbreaking, long-term research and technology development in AI/ML for semiconductor equipment.

One of our project relates to autonomous operation of semiconductor equipment. This project has been ongoing for several years and is in the prototype stage. We are looking for an experienced engineer who can take a lead role in enhancing the technology, which includes embedded control, complex software/hardware systems, autonomy, knowledge capture and management, transfer learning.

Key requirements:

• Creative, out-of-the-box thinker
• Good communicator who works well in a team and across cultural barriers
• Low prestige problem solver: willing to be wrong and accept a better solution
• Productive in translating ideas to code
• Present to support colleagues – gives freely of own time
• Interested in learning, e.g. a complex application domain, new programming languages
• Willing and able to travel overseas (east Asia) 1-3 times per year
• Willing and able to collaborate with colleagues in east Asia some evenings
• Must be able to report on-site in our San Jose, CA office three days per week. Current days are Tuesday, Wednesday, and Thursdays. Hours are flexible

 Qualifications

• 7+ years of relevant experience (such as computer science/AI research, software engineering, machine learning, scheduling and planning, or knowledge representation)
• 3+ years of experience with complex hardware + software systems
• PhD or MSc in Computer Science or adjacent areas, or BSc with 10+ years of AI/ML/Comp Sci research excellence required

Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.