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Driven by the passion to improve the quality of people’s lives, WSA continues to grow as the market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation to reach more people, more effectively.
As a Hardware Engineer Intern, you will assist in developing acoustic simulation, signal processing, and machine learning solutions in order to improve hearing aid design and audio performance. You will also be exposed to modeling, testing, and integrating acoustic hardware and measurement systems to validate and optimize audio technologies.
Perform acoustic signal processing, modeling, and simulation for audio-related applications
Research and implement machine learning solutions for advanced signal analysis and enhancement
Support the development, integration, and testing of acoustic hardware and measurement systems.
Currently pursuing a Bachelor's Degree in Computer Science, Acoustics, Engineering or any other relevant fields
Proficiency in Python and deep learning frameworks such as PyTorch
Hands-on experience, strong interest and background in machine learning, acoustics, audio engineering, signal processing, acoustic analysis, modeling, testing or related fields
Strong analytical and problem-solving skills, with the ability to work independently.
At WSA, we provide innovative hearing aids and hearing health services.
Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.
With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.
Sounds wonderful? We can't wait to hear from you.
WSA is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.
