Principal / Senior Engineer, Data Analytics & Management, Technical Operations Management (Semiconductor)

Location: Singapore

Company

hirify.global is an automotive technology and electronics company developing sensor solutions, displays, braking and comfort systems, software architecture platforms, and assistance systems for software-defined vehicles.

What you will do

• Own the test analytics strategy for Wafer Sort, Burn-In, and Final Test, developing solutions for yield learning, outlier detection, excursion monitoring, statistical screening, and quality monitoring.
• Implement and optimize PAT, Statistical Bin Limits, dynamic guard-banding, clustering, and test escape prevention to improve outgoing quality and reduce DPPM.
• Own the manufacturing analytics platform ecosystem, including JMP, Power BI, Databricks, and yield-related tools; define its roadmap, governance, deployment, and adoption plans.
• Lead analytics tool evaluations, vendor engagement, implementations, user training, reporting standards, data governance, and engineering productivity practices.
• Define system requirements and integration strategies across foundries, OSATs, MES, quality management systems, and analytics platforms; standardize manufacturing data flows and workflows.
• Design and manage semiconductor manufacturing data solutions, including databases, ETL pipelines, dashboards, cloud architectures, automated reporting, and Python, SQL, Power BI, and VBA automation.

Requirements

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Electronics Engineering, Computer Science, Data Science, Statistics, or a related field.
• Minimum 5+ years of semiconductor industry experience for Senior Engineer or 8+ years for Principal Engineer in data analytics, analytics platforms, and data architecture.
• Experience analyzing semiconductor manufacturing, yield, test, reliability, and quality datasets.
• Hands-on experience with STDF, ATDF, MES, manufacturing databases, and semiconductor data ecosystems.
• Self-motivated, hands-on team player with a strong ownership mindset and the ability to deliver results in a dynamic and rapidly growing startup environment.
• Strong collaboration, communication, and interpersonal skills for working across global and multicultural teams.
• Excellent analytical and problem-solving skills, combining data-driven decision-making with engineering judgment.
• Experience with Databricks, JMP, yield tools, or equivalent semiconductor analytics platforms; SPC, PAT, SBL, outlier detection, clustering analysis, and quality screening techniques.
• Proficiency in SQL, Python, JMP, Power BI, Tableau, Excel/VBA, or equivalent analytics tools; experience leading digital manufacturing, analytics platform, AI-based analytics, or data transformation initiatives.
• Knowledge of ATE test operations and test methodologies, and understanding of semiconductor manufacturing flows covering Wafer Sort, Assembly, Final Test, Reliability, and Quality operations.

Culture & Benefits

• Opportunity to work on semiconductor solutions enabling safer, smarter, and more connected mobility.
• Cross-functional collaboration across global and multicultural engineering teams.
• Work within a growing Technical Operations Management organization.
• Exposure to semiconductor manufacturing, digital transformation, analytics platforms, and operational excellence initiatives.