CareerPlanGet AI match score →

Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

Fab 10A, Singapore💼 Full-time🗓 2026-05-18 → 2026-07-30

Core

Design, build, and scale GenAI, machine learning, and advanced data analytics solutions to improve semiconductor engineering productivity, decision-making, and workflow efficiency.

Role type

Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

Builds

Intelligent systems for code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval within semiconductor engineering workflows.

Domain

Semiconductor manufacturing and engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Python, SQL, LLM workflow engineering (RAG, prompting, orchestration), distributed data processing (PySpark, BigQuery), machine learning model development (PyTorch, TensorFlow), data analytics and visualization (pandas, scikit-learn, matplotlib, plotly), agentic AI frameworks (LangGraph, AutoGen, Google ADK)

Preferred skills

Semiconductor-specific AI/ML applications, deep learning architectures and computer vision, enterprise data platforms (Snowflake, MSSQL, Oracle, Redshift), Kubernetes, web technologies (JavaScript, HTML, CSS), scalable enterprise-grade system design

Technologies

PySpark, BigQuery, PyTorch, TensorFlow, LangGraph, AutoGen, Google ADK, AgentEval, GCP, AWS, Azure

Responsibilities

Design and build GenAI-powered agentic systems for engineering workflows; develop scalable data pipelines for heterogeneous manufacturing datasets; apply data science techniques for deep analysis and visualization; build and optimize LLM-based workflows including RAG and inference orchestration; develop and productionize ML models for classification, regression, and anomaly detection; implement distributed data processing techniques for cleansing and outlier detection; partner with cross-functional teams to translate engineering problems into AI/ML solutions; support deployment and operationalization of AI/ML solutions in cloud environments; identify high-impact opportunities for AI/ML to improve business outcomes

Seniority

Senior/Staff, hands-on IC with innovation leadership

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗