TSMC Arizona - AI Engineering Manager

A job at TSMC Arizona offers an opportunity to work at one of the most advanced semiconductor fabs in the United States. Today, TSMC Arizona's first fab is in full operations on its N5 and N4 process technology. Its second fab will utilize its N3 process technology and will start operations in the second half of 2027. It's third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies rely on TSMC Arizona for the next generations of chips that will power the AI and digital future. 

Computer Integrated Manufacturing (CIM) of TSMC Arizona is seeking an AI Engineering Manager to lead a multidisciplinary team of 10–20+ engineers across AI development, forward-deployed engineering, and fab automation and software. You will own technical direction, talent development, and delivery of reliable systems that improve manufacturing performance.

This role combines hands-on technical leadership, active people management, and business accountability, from understanding fab needs and validating prototypes to deployment, adoption, and ongoing production support.

Key Responsibilities

• Provide hands-on technical leadership. Guide architecture and engineering standards, review critical designs and code, and support prototyping and complex troubleshooting in partnership with technical leads.
• Guide AI development. Oversee data preparation, model selection, evaluation, targeted fine-tuning, and integration of ML, LLM, retrieval-augmented generation (RAG), and agentic solutions into manufacturing workflows.
• Build and develop the team. Lead hiring, coaching, performance management, and career development. Develop technical leads, strengthen retention, and establish succession plans and sustainable workloads.
• Set priorities and deliver results. Define the roadmap, allocate engineering capacity, and manage milestones, dependencies, and risks across projects. Track measurable improvements in productivity, quality, reliability, and cost.
• Partner with fab users. Translate operational challenges into clear requirements, acceptance criteria, and adoption plans across AI applications, automation, dispatching, scheduling, and system integration.
• Own production readiness and reliability. Establish MLOps/LLMOps, testing, CI/CD, monitoring, incident response, and rollback practices, with appropriate security, traceability, and human oversight.
• Coordinate across teams and sites. Align with headquarters, IT, and manufacturing teams on integration, releases, and reusable solutions. Facilitate knowledge transfer and resolve cross-team dependencies.
• Represent the team to senior leadership. Present business value, delivery progress, key risks, recommendations, and resource or decision requests clearly to Fab Directors and Vice Presidents.

Required Qualifications

• Master's degree in Computer Science, AI/ML, Information Systems, Industrial Engineering, Electrical/Computer Engineering, or a related technical discipline.
• 8+ years of hands-on experience in software engineering, AI/ML, or automation, including developing, deploying, and maintaining production AI/ML systems.
• 3+ years of formal engineering people management, including teams of at least 10 engineers, ideally 10–20+. Demonstrated responsibility for hiring, performance, and coaching engineers and technical leads.
• Applied expertise in ML/deep learning and recent hands-on experience with LLM applications, RAG, and agentic workflows, including model evaluation and system trade-offs.
• Strong Python and software engineering skills, including architecture, APIs, databases, automated testing, and production troubleshooting.
• Practical experience with data pipelines, Docker/Kubernetes, CI/CD, monitoring, and MLOps/LLMOps for production systems.
• Strong business judgment and organizational skills, with a record of prioritizing concurrent projects, assessing return on investment, and delivering measurable operational improvements.
• Excellent written and verbal communication, including effective collaboration with engineers and fab users, constructive conflict resolution, and clear presentations to executive leadership.

Preferred Qualifications

• Semiconductor manufacturing experience is strongly preferred, particularly in fab workflows, computer-integrated manufacturing (CIM), automation, or systems supporting 24/7 operations.
• Experience engineering reliable agents, including context and memory management, state persistence, tool execution, guardrails, tracing, and automated evaluation.
• Experience with LLM fine-tuning and inference optimization, such as LoRA/QLoRA, quantization, or vLLM/SGLang.
• Production experience in computer vision, robotics, or AI platforms deployed across multiple sites.
• Bilingual proficiency (English and Mandarin) to facilitate seamless collaboration with global headquarters teams is a plus.

Application Consideration Consent:

By applying to this position, I acknowledge and agree that my application and qualifications may be considered for other roles within the company. However, I reserve the right to withdraw my consent for future consideration of other roles within the company at any time.

As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best physically, mentally, and financially, our company thrives. TSMC offers a comprehensive and competitive benefits program that includes:

Medical, Dental, and Vision Plans: Choose the options that best fit your and your family's needs.

Income-Protection Programs: Financial assistance during injury or illness.

401(k) Retirement Savings Plan: Secure your financial future with competitive employer contributions.

Paid Time-Off Programs and Holidays: Recharge and spend quality time with loved ones.

TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

We encourage all qualified individuals to apply and welcome applications from diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need an accommodation as part of the application process, please contact View email address on phoenixjobs.com.