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Here’s the Gist

The Semiconductor Manufacturing Application Engineer is responsible for designing, developing, testing, and maintaining software applications and data processing pipelines for the manufacturing domain. In addition to working with programming languages such as Java or Python to develop these applications and test them to ensure they are functioning correctly, the engineer is also responsible for building data processing solutions that can transform, aggregate, and ensure the accuracy, completeness, and consistency of the data by implementing data validation rules and data cleansing processes.

The Day-to-Day:

Designing and developing software and data solutions: The Semiconductor Manufacturing Application Engineer designs and develops software applications used in semiconductor manufacturing.
Testing and debugging applications: The engineers are responsible for testing and debugging applications to ensure that they are functioning correctly.
Providing technical support: The engineer provides technical support to stakeholders (in-person), who are using the software applications and data. They assist stakeholders with troubleshooting issues or provide guidance on how to use the software and data effectively.
Collaborating with other teams: The engineer collaborates with other teams (in-person), such as software development teams, hardware engineers, and product managers, to ensure that the software applications meet the requirements of the semiconductor manufacturing industry.
Maintaining documentation: The engineer maintains documentation of the software applications, including user manuals, technical specifications, and test plans.

This Job is Right for You if You Have (Minimum Requirements):

Bachelor's degree in computer science, software engineering, or a related field.
Strong problem-solving skills and proficiency in programming languages such as Java, J2EE, or Spring Framework & familiarity with scripting languages such as Python
Understanding of web application architecture and RESTful API (Application Programming Interface) design.
Strong experience in working with SQL and database management systems (DBMS) such as Microsoft SQL Server.
Proficiency in data transformation using dbt, including experience in building data pipelines, managing data dependencies, and creating reusable components.
Knowledge of data visualization tools PowerBI.
Experience in software development, testing, and deployment using Azure DevOps.
Familiarity with containerization technologies such as Docker and Kubernetes.
This position requires the lawful ability to access technical data, information, and areas controlled by United States export control laws and regulations

Note: This role may require additional duties and/or assignments as designated by management.

To put it legally – Wolfspeed is an equal opportunity employer.

We recruit, employ, train, compensate and promote regardless of race, sex, religion, color, national origin, disability, age, veteran status, gender identity, sexual orientation and other protected status as required by law.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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