Principal / Senior Engineer, Yield Engineer, Technical Operations Managemen at Aumovio

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

09 Jul, 26

Salary

0.0

Posted On

10 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Semiconductor yield engineering, Data analysis, Process optimization, Defect reduction, Yield analysis, Pattern analysis, Parametric analysis, Drift analysis, Statistical analysis, JMP, Minitab, Data mining, Failure analysis, Root cause analysis, Product engineering, Process integration

Industry

Motor Vehicle Manufacturing

Description

Company Description Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Job Description We are seeking a detail-oriented and analytical Semiconductor Yield Engineer to join our team in Singapore, Singapore. In this role, you will be responsible for improving and maintaining semiconductor manufacturing yields through data analysis, process optimization, and defect reduction strategies. Responsible for yield analysis, pattern analysis, parametric analysis, and drift analysis in semiconductor processes, e.g. wafers fab and IC package assembly. Owner for yield pareto and develop models to predict and enhance yield performance. Identify Yield Improvement Programs in collaboration with the Product Engineers to enhance product quality and cost efficiency. Define and optimize data management tools and software for efficient data collection and analysis. Utilize statistical analysis tools and techniques to drive data-driven decision-making. Collaborate with cross-functional teams to investigate and resolve yield-related issues. Conduct root cause analysis on yield excursions and implement corrective actions. Design and execute experiments to optimize process parameters and improve yields. Generate comprehensive reports and presentations on yield performance and improvement initiatives. Qualifications Bachelor’s degree in Electronics Engineering, Data Science Engineering or related field; Master’s degree preferred. Minimum 7 years of experience in semiconductor yield engineering, product engineering or related field. Strong understanding of semiconductor manufacturing processes and yield management systems. Knowledge of process integration and its impact on yield is added advantages, Proficiency in statistical analysis software (e.g., JMP, Minitab), data mining tools and automated data analytics scripts. Experience with failure analysis techniques and defect reduction strategies Excellent problem-solving skills and data analytical competency. Familiarity with industry standards and quality control practices in semiconductor manufacturing Strong communication skills, both verbal and written (e.g., Business English, Presentations) to interact with internal and external stakeholders. Demonstrated ability to work effectively in a fast-paced, team-oriented environment. Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next. Legal Entity: AUMOVIO Singapore Pte. Ltd. (0711) Referral Bonus : Yes Job flexibility: Onsite Job Leadership level: Leading Self Working time: Full Time

Responsibilities

The role involves improving semiconductor manufacturing yields through data analysis, process optimization, and defect reduction strategies. You will collaborate with cross-functional teams to investigate yield excursions, implement corrective actions, and develop models to enhance product quality.