Principal Engineer Product Test Engineering at Infineon Technologies AG Australia

Malacca City, Malacca, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analysis, Process Improvement, Automation, Database Architecture, Data Pipeline Management, Robotic Process Automation, AI, Big Data, Semiconductor Manufacturing, Yield Management, Device Testing, Lean 6 Sigma, Communication Skills, Problem Solving, Agile, SCRUM

Industry

Semiconductor Manufacturing

Description

Develop new and advanced data analysis methods for product and process productivity and quality improvement. Job Description In your new role you will: Develop & deploy optimum & efficient process & data engineering methodologies for engineering system that enable product/process productivity & quality improvement Explore and implement new and advance process & data engineering tooling & requirement including proto-typing, interacting closely with domain experts & IT Identify and analyse business processes that can be automated, assessing their feasibility and potential benefits via closed & effective collaboration with relevant stakeholders Work closely with engineering teams on problem solving relating to data, product, process & test technology topics in manufacturing for effective data analysis Design, build and sustain data architecture for engineering data pipeline for data analytics applications Establish & provide technical competency training on process & data engineering methods to the engineering community Your Profile You are best equipped for this task if you have: Degree/Master in Electrical & Electronics Engineering, Computer science or equivalent with more than 5 years of relevant experience in Semiconductor Industry Proficient in data engineering related scripting (ETL/ELT) & knowledgeable in big data management related to Product/Process/Test Engineering work methods, processes and related tools Application experience in database architecture development, data pipeline management & application (Oracle, SQL) Preferably familiar with Robotic Process Automation workflow development & deployment with related software (eg. UiPath) Knowledge of AI, Big Data, in particularly in Semiconductor Manufacturing & yield management are an added advantage Candidate with relevant experience in Product/Process Engineering, Device testing & process improvement methodologies (8D, Lean 6 Sigma) are highly preferred Fluent in English, excellent in communication skill, good team player & good application knowledge in problem solving, agile/SCRUM methodologies. #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

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Responsibilities

The Principal Engineer will develop and deploy efficient process and data engineering methodologies to improve product and process productivity and quality. They will also work closely with engineering teams to solve data-related problems and establish data architecture for analytics applications.