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Open nowPosted 20 days ago

Process Engineer

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 6,500 a month
Where
North, Singapore
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Your applicationOpen nowProcess EngineerMyCareersFuture · North, Singapore

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This job: posted 20 days ago

The posting

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role

As GlobalFoundries Singapore is embarking Industry 4.0, leveraging the technology advancement involves using data analysis, machine learning and AI to predict equipment failure to perform just in time maintenance. This “Predictive Maintenance” is one of key focus in our digital manufacturing initiatives. We are looking for passionate engineer with computer engineering/data science background to join us and be part of the high performing team in GlobalFoundries Digital Manufacturing journey.

Essential Responsibilities include:

  • Work in close collaboration with process and equipment team.
  • Perform data analytics which include analyzing sensor data, process recipe and historical trend of equipment performance.
  • Research and implement appropriate ML algorithms and tools.
  • Conduct machine learning tests and experiments with appropriate datasets and data representation methods.
  • Develop machine learning applications according to requirements such as tool type, recipe, and equipment constraint.
  • Integrating proven machine learning solution into maintenance system with statistical analysis and fine-tuning machine learning models.
  • Establish business processes necessary to deploy and upkeep the machine learning model in production, as well as their documentation according to quality standards.
  • Scale up machine learning solution to other equipment.
  • Ensure continuous knowledge exchange on best known methods and improvement levers across geographical locations (e.g. Fab 1/7/8/9).

Required Qualifications:

  • Degree in Computer Science/Engineering or related field with 3 years of working experience.
  • Strong theoretical and practical knowledge of key areas in Artificial Intelligence.
  • Proficiency in programming languages such as Python.
  • Experience with Relational Databases; MySQL, PostgreSQL, Oracle
  • Knowledge of machine learning frameworks such as Sagemaker Studio, PyTorch, Tensorflow, Keras.
  • Independent and good experience in troubleshooting application bugs and performance issues.
  • Team player with positive work attitude and good interpersonal and communication skills.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

No Recruitment Fee Policy: GlobalFoundries is committed to ethical and transparent hiring practices. Candidates will not be charged any fees at any stage of the recruitment process. Any request for payment related to a GlobalFoundries employment opportunity is unauthorized and should be reported immediately. All legitimate recruitment communications are conducted exclusively through official GlobalFoundries channels. To report concerns or suspected recruitment fraud, please contact our Ethics & Compliance Office at [email protected] or visit our official website.

The Ethics & Compliance mailbox is not a recruitment channel. CVs/resumes submitted to this mailbox will not be reviewed, processed, or considered for employment opportunities. Please apply through the official GlobalFoundries careers site only.

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