NEWPosted 3 hours ago

Job ID: JOB_ID_3280

Job Summary:

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.

Key Responsibilities:

  • Conduct research into software methods for audio detection and signal processing.
  • Leverage machine learning architecture on embedded computing platforms.
  • Optimize performance of ML models within resource-constrained systems.
  • Collaborate with cross-functional teams to ensure successful delivery of scalable solutions.

What you need for this position:

  • MS or PhD in Computer Science, Computer Engineering, Software Engineering, or similar.
  • Project management skills to ensure timely completion of quality deliverables, proactive time response, and the ability to properly assess and communicate potential bottlenecks or delays in tasks ahead of time.
  • 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 GMs 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 and interpret arxml files, integrate 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.

Compensation & Location

Salary: $100,000 – $150,000 per year (Estimated)

Location: Warren Park, MI

Recruiter / Company – Contact Information

Recruiter / Employer: Themesoft

Email: m@themesoft.com

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