TSMC Arizona - AI Engineering Tech Lead
About the role
TSMC Arizona is seeking an AI Engineering Tech Lead to lead the development and production deployment of AI solutions that improve manufacturing efficiency, quality, and engineering productivity. The position supports operations across N5, N4, N3, and 2nm process technology nodes.
What you'll do
- Lead multiple AI projects from concept to production, translating manufacturing requirements into technical specifications, delivery plans, and business outcomes.
- Design architectures, develop and review code, guide experimentation, and troubleshoot performance and reliability issues in production.
- Lead and mentor teams of 7 or more engineers, setting technical direction and establishing engineering standards across concurrent application projects.
- Develop practical AI/ML solutions in partnership with fab domain experts for data collection, labeling, model development, evaluation, and system integration.
- Establish MLOps and LLMOps practices covering reproducibility, versioning, CI/CD, deployment, monitoring, model drift, incident response, and rollback.
- Build trustworthy applications by implementing validation, access controls, traceability, and human oversight for critical fab decisions.
What you'll need
- Master’s degree in AI/ML, Computer Science, Industrial Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline.
- 5+ years of professional experience developing AI/ML applications, with substantial hands-on responsibility for production deployment and ongoing operations.
- Proven experience leading teams of at least 7 engineers across multiple AI application projects.
- Applied expertise in one or more areas such as computer vision, anomaly detection, time-series modeling, predictive analytics, robotics, reinforcement learning, or generative AI.
- Strong Python and software engineering skills, including experience with PyTorch or comparable ML frameworks, data pipelines, APIs, automated testing, and performance optimization.
- Practical experience with containerization, Kubernetes, MLOps, CI/CD, and production monitoring.
- Familiarity with Agile and Spec-Driven Development (SDD), including clear requirements and testable acceptance criteria.
Nice to have
- Experience in semiconductor manufacturing, industrial automation, or demanding production environments.
- Hands-on experience with LangChain/LangGraph, context and memory management, state persistence, checkpointing, tool execution, retries, and guardrails.
- Experience with LLM fine-tuning, LoRA/QLoRA, knowledge distillation, quantization, large-scale LLM serving with vLLM/SGLang, RAG/KG-RAG, or multi-agent systems.
- Experience with deployment and observability tools including Azure DevOps, Argo CD, Harbor, Prometheus, Grafana, ELK Stack, and OpenTelemetry.
- Experience deploying vision or robotics applications on edge devices, or transferring reinforcement learning solutions from simulation into operational environments.
- Anthropic Claude Certified Architect certification, at the Foundations or Professional level, or Kaggle Master/Grandmaster recognition.
Skills: AI/ML, MLOps, computer vision, anomaly detection, PyTorch, Python
More semiconductor jobs: TSMC Arizona jobs · Software engineer jobs
First seen in our index 13 days ago, below the 14-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · Defect Algorithms
|
Open roles in category
32
|
Median days since first seen
14 d
|
Category median salary (all employers)
n/a
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | TSMC Arizona | All employers we track in this specialty (32 roles · 9 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 32 |
| Open roles in the wider Software, Firmware & Systems family | 17 | 6700 · 161 employers |
| Median days since first seen | 13 d | 14 d (+1 d vs this employer) |
| Median salary (USD postings) | n/a | n/a |
Skills observed across this category: AI/ML, MLOps, computer vision, anomaly detection, PyTorch, Python
Who's hiring in this category
- KLA Corporation · 12 open roles · median 12 d
- Applied Materials · 9 open roles · median 17 d
- Intel Corporation · 3 open roles · median 23 d
- ASML · 2 open roles · median 13 d
- Onto Innovation · 2 open roles · median 9 d
- Fab2 · 1 open role · median 16 d
How we counted: 32 open Software Engineering Semiconductor (Defect Algorithms) roles from 9 employers tracked in the SemiconductorJobs index, counted 13 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.