Digital Signal Processing Intern

Shureorporated•Niles, IL

6d•Hybrid

About The Position

The Digital Signal Processing Intern will assist with the development and optimization of traditional and machine learning signal processing algorithms. The intern will work closely with their 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 will be Hybrid, based 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
Experience with C, C++ or Assembly language programming
Experience with hardware acceleration specific instruction sets ; Any of Cuda, C7x , NEON SIMD
Experience designing any audio signal processing software or hardware (including machine learned algorithms), preferably embedded implementations but also scripting languages such as Matlab or Python
Experience with software development tools such 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
Optimize existing C/C++ code for different CPU architecture, such as Cuda, ARM Neon SIMD , TI C7x DSP and more to meet product constraints (MIPS, memory) and requirements (latency, fidelity)
Port entire audio flow projects from embedded application to offline simulations
Explore audio encoding and inter-device network communication schemes
Participate in foundational coding framework development
Work with technical mentor to estimate, organize, and plan work tasks
Present personal contributions to product stakeholders and executive management