Audio DSP Intern — ML & Real-Time C/C++ Engineering

Southern Arkansas University; California (MO); On-site; USD 27,552 - 41,328; Full time

Job summary

A leading technology company is seeking a Summer Intern in Audio Digital Signal Processing in California. The role involves assisting in the development of machine learning and DSP technologies, translating algorithm code into real-time C/C++ code, and collaborating with teams in the US and Korea. Candidates should be pursuing a Master's or PhD in Electrical Engineering and possess strong skills in machine learning and audio signal processing. Excellent communication and motivation are essential for success in this position.

Qualifications

• Currently enrolled in a Master's or PhD program in Electrical Engineering or similar.
• Relevant coursework with coding skills for machine learning, including deep-learning techniques.
• Excellent understanding of signal processing for audio.
• Excellent verbal and written communication skills.
• Attention to detail with a mindset of improvement.
• Highly motivated and productive, able to transition to full-time post-graduation.

Responsibilities

• Assist in developing and implementing Machine Learning and DSP-based technologies for audio.
• Translate MATLAB or Python code into real-time C/C++ code for DSP and production hardware.
• Set up test equipment and analyze audio measurements.
• Prepare documentation, reports, and presentations related to technology and code.
• Collaborate with research and product development teams in the US and Korea.

Skills

Machine learning

Signal processing for audio

C/C++ programming

Verbal communication

Written communication

Education

Master's or PhD in Electrical Engineering or similar

Tools

MATLAB

Python

Job description

A leading technology company is seeking a Summer Intern in Audio Digital Signal Processing in California. The role involves assisting in the development of machine learning and DSP technologies, translating algorithm code into real-time C/C++ code, and collaborating with teams in the US and Korea. Candidates should be pursuing a Master's or PhD in Electrical Engineering and possess strong skills in machine learning and audio signal processing. Excellent communication and motivation are essential for success in this position.