Audio DSP Engineering Intern

Shure•Niles, IL

7d•$23 - $43•Onsite

About The Position

Join Shure’s DSP Software team as a Audio DSP Engineering Intern to develop the next generation of intelligent audio products tailored for the live performer, the content creator, and the A/V conference participant! Contribute to projects that may include modeling, collecting data & evaluating, developing, and optimizing digital audio processing and machine learning algorithms for various audio products. You will work closely with your mentor and teammates on projects that typically focus on advanced development projects in support of future DSP based audio features and processing for conferencing products like the MXA line. This Internship is Onsite in Niles, IL.

Requirements

Completed at least three years of coursework in Electrical or Computer Engineering, Computer Science, Software Engineering, data science, AI/ML or audio related major with an emphasis in Digital Signal Processing
Experience with Matlab or Python required
Experience with C, C++ or Assembly language programming
Experience designing any audio DSP software or hardware, preferably embedded implementations but can also include Matlab / Python simulations
Experience with software development tools such as Integrated Development Environments, compilers/linkers, and debugging tools (emulator, profiler, etc.)
Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

Nice To Haves

Graduate students, or undergraduates with at least one year of DSP coursework
Understanding of embedded platform development
Project work with AI/ML algorithms
Psychoacoustics
A/V conferencing products and features
Algorithm research via survey of technical literature
Microphone arrays
HRTF’s and other binaural audio recording, rendering concepts
3-D Audio, Immersive Audio, Augmented Reality
Test and measurement equipment including audio analyzers, oscilloscopes, etc.

Responsibilities

Deliver digital signal processing and Machine Learning features into a variety of intelligent products to provide best-in-class audio experience to end user
Simulate algorithms using Python, Matlab, and other prototyping tools; perform objective audio testing and conduct subjective listening validation; collect and evaluate algorithm performance data.
Translate real time audio signal processing and machine learning algorithms from simulation model to floating- point DSPs, ARMs, or PC platforms in C/C++
Optimize, test, and debug algorithm operation on real-time target platform to meet product constraints (MIPS, memory) and requirements (latency, fidelity)
Document algorithm design and performance
Collaborate with members of larger cross-functional development team including acoustics, analog / digital / RF hardware, mechanical, systems, and product management
Work with technical mentor to estimate, organize, and plan work tasks
Present personal contributions to product stakeholders and executive management