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Senior Engineer, Machine Learning (ML Apps)QualcommUnited States
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Senior Engineer, Machine Learning (ML Apps)

Qualcomm
  • US
    United States
  • US
    United States

Über

Job Summary :
Qualcomm Technologies, Inc. is a leading mobile computing platform provider focused on advancing Gen AI Technology for the Edge. In this role, you will be part of a multi-disciplinary team responsible for architecting, designing, developing, testing, and deploying on-device prototype software for AI use cases.
Responsibilities : • Work in a dynamic research environment as part of a multi-disciplinary team of researchers and software engineers. • Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
Qualifications : Required : • Bachelors degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. • OR Masters degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. • OR PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred : • Strong Python and C/C++ design and implementation skills. • Knowledge of deep learning and ML frameworks (i.e. PyTorch). • Strong software design skills with a focus on usability. • Strong analytical, debugging and problem-solving skills. • Experience in Embedded Software development. • Excellent programming capabilities in Java. • Knowledge of Generative AI (GenAI) technologies. • Knowledge of Android programming is a plus. • Knowledge of neural network model optimization and on-target deployment is a plus. • Previous experience with Docker, Git and CI/CD. • Knowledge of NPUs / ML accelerators. • At least 3 years of work experience in a relevant field.
Company :
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
  • United States

Sprachkenntnisse

  • English
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