AI Speech and Signal Processing Summer Intern

Hillsboro, OR, US

Skyworks Solutions, Inc.

Skyworks is Connecting Everyone and Everything, All the Time.

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If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

 

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 75167 

Description

Skyworks is a prominent semiconductor and technology company that is empowering the wireless networking revolution, connecting people, places, and things around the world. We are looking for a current student who is available to work full-time in our Hillsboro, Oregon office as part of our summer 2024 internship program. You will be working with our AI group to help research and develop cutting-edge speech and signal processing algorithms on edge devices.

 

As part of this team, you will share responsibility for some of the following tasks:

 

  • Analyze neural network efficiency and performance
  • Port to and test neural networks on microprocessors and other constrained devices
  • Develop neural network based real-time audio algorithms that are memory and computationally efficient
  • Research state of the art neural networks in the audio domain

Required Experience and Skills

Many of the following skills will be necessary for success in this role:

 

  • Experience with at least one deep learning framework (preferably Tensorflow)

  • Understanding of common neural network layer types and their mathematical operations

  • Programming in Python and C/C++ (preferably experience with embedded programming)

  • Knowledge of bit level representations for integer and float types

  • Conceptual understanding of computer architecture, memory, and caching

  • Familiarity with audio/speech/music signals

  • Proficient in Linux (Ubuntu)

  • Desire to write clean, maintainable code under version control (Git)

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Must be enrolled as a degree seeking student. No courses should be taken during the internship unless required by your school. Preferably enrolled in a master’s or PhD program in a STEM related field that involves programming (e.g. Computer Science, Computer Engineering, Mathematics). Bachelor students will be considered if they have professional experience or personal projects applying neural networks to solve complex problems, and/or advanced embedded programming.

 

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

 

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

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Category: Deep Learning Jobs

Tags: Architecture Computer Science Deep Learning Engineering Git Linux Mathematics PhD Python Research STEM TensorFlow

Region: North America
Country: United States

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