Posted 1 week ago

TTAD Group leader / Job leader: AI research in Autonomy and Knowledge Capture

TEL Technology & AI Design, Inc. United States of America, San Jose
Onsite Full Time

Job description

Let’s search for your next career at TEL. Use the form below to search our current opportunities and then apply. Please consider joining our Talent Community so that we may continue to engage with you. Job Description TTAD Group leader / Job leader: AI research in Autonomy and Knowledge Capture Hybrid- San Jose, CA office 3/2 Tokyo Electron (TEL) is a leader in semiconductor manufacturing equipment. We make equipment for key parts of the manufacturing process in 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 for semiconductor equipment. One of our projects 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 lead a small team for the next phase of this project. The technologies used include embedded control, complex software/hardware systems, autonomy/planning, semantic and symbolic knowledge capture from unstructured data, transfer learning, and advanced UI design. This position will be filled as Principal Engineer (technical career track) or Sr Manager (management career track) level depending on the candidate’s experience and career interests. TTAD

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 Role

Requirements

• 7+ years of relevant engineering experience (such as computer science/AI research, software engineering, machine learning, scheduling and planning, or knowledge representation) • 4+ years of experience with complex hardware + software systems • 2+ years of small-group leadership experience • Expertise in leading techniques for semantic capture, search, and embedding spaces • PhD or MSc in Computer Science or adjacent areas, or BSc with 10+ years of AI/ML/Comp Sci research excellence required Role

Responsibilities

• Lead and inspire a highly talented team • Establish and manage project roadmap with stakeholders in TTAD and TEL Group • Hands-on contribute to development of software modules • Embrace and contribute to our AI-assisted coding best practices 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. Subsidiary TEL Technology & AI Design, Inc. We make innovation possible. At TEL, we’re committed to advancing future technologies and success starts with a community of talented individuals. Our global workforce of over 20,000 employees is embracing the challenge of a rapidly evolving tech landscape. Your growth fuels our progress. Our 360-degree learning approach ensures there’s something for every style from interactive classes and on the job training to formal programs led by certified technical experts and organizational development professionals. You’ll continue building your skills and nurturing your curiosity. To support your journey, TEL offers educational reimbursement to help you reach your learning goals. Join our Talent Network

Skills and functions

  • Machine Learning
  • Software Engineering