What you'll be doing:
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
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
