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About Howmet Aerospace

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2022 approximated $5.7 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. For more information, visit www.howmet.com , including content shared during the Company's May 2022 Technology Day.

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Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comMinimum Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or Computer Information Systems from an accredited institution Previous co-op, internship experience in a manufacturing environment. Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Skills and Qualifications Strong problem-solving skills with an emphasis on manufacturing and process/product engineering. Knowledge of machine vision requirements such as lighting techniques and optics. Knowledge in artificial intelligence inspection with a strong desire to grow and refine skills to expert levels. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc.) Experience using object-oriented programming languages (C#), relational databases (Microsoft SQL, Oracle). Experience in HMI suites (Ignition, Wonderware, Labview) would be a plus. Experience with programmable controllers (Rockwell AB) would be a plus. Experience visualizing/presenting data for stakeholders, customers and end users. Strong written and verbal communication skills for coordinating across teams. Drive to learn and master new analytical technologies and techniques. Minimum Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or Computer Information Systems from an accredited institution Previous co-op, internship experience in a manufacturing environment. Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Skills and Qualifications Strong problem-solving skills with an emphasis on manufacturing and process/product engineering. Knowledge of machine vision requirements such as lighting techniques and optics. Knowledge in artificial intelligence inspection with a strong desire to grow and refine skills to expert levels. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. Knowledge of statistical