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Before And After School Audio Signal Processing Jobs

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Digital Signal Processing Intern

Niles, IL · On-site

$100 - $125/hr

Deliver digital signal processing and machine learning features into intelligent products to ... Port complete audio-flow projects from embedded applications to offline simulations * Explore audio ...

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Before And After School Audio Signal Processing information

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$15

$35

$52

How much do before and after school audio signal processing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for before and after school audio signal processing in the United States is $35.18, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $46.63 per hour, depending on experience, location, and employer.

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Before And After School Audio Signal Processing jobs near you

Software Research - Audio Signal Processing

Warren, MI • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

$192K/yr

Full-time

Re-posted 22 days ago

Job description

Job title: Software Research - Audio Signal Processing
Location: Onsite. Warren Park, MI
JD:
This project will research software methods for audio detection and signal processing by leveraging machine learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems.
What you need for this position:
• MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar.
• Project management skill that will ensure timely completion of quality deliverables, proactive time response and capable to properly assess and communicate ahead of time possible bottle necks or delays in tasks.
• In-depth knowledge and experience in real-time application and software development such as hardware-in-the-loop instrumentation and experiments, rapid prototyping system design using Matlab/Simulink, Python, Android applications and GM's ULTIFI platform.
• Very familiar with automotive communications bus specifications and protocols (OBD-II, CAN, Ethernet, Serial, etc.), appropriate test equipment, and computer-based design tools.
• Ability to read, interpret arxml files, integrate the CAN specifications in RTI environment to interface with other vehicle components.
• Ability to write and compile embedded C and Python code
• Knowledge in database systems (i.e. SQL, Oracle)
• Deep knowledge in communications protocol software tools from Vector, Intrepid and Dspace.
• Deep Knowledge in sound processing and general signal processing concepts
• Deep knowledge in ML/AI concepts including SVM and NN
•
Years of Experience: 7.00 Years of Experience
Regards
Surya
Surya@rurisoft.com

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