Digital Signal Processing Intern

• Assist with development and optimization of traditional and machine learning signal processing algorithms
• Work closely with a mentor and teammates on advanced development projects supporting future DSP-based audio features and processing for conferencing products such as the MXA line
• Deliver digital signal processing and machine learning features into intelligent products to provide a best-in-class audio experience
• Optimize existing C/C++ code for CPU architectures including CUDA, ARM NEON SIMD, and TI C7x DSP to meet MIPS, memory, latency, and fidelity constraints
• Port complete audio-flow projects from embedded applications to offline simulations
• Explore audio encoding and inter-device network communication schemes
• Participate in foundational coding framework development
• Work with a technical mentor to estimate, organize, and plan work tasks
• Present personal contributions to product stakeholders and executive management

• Completed at least three years of coursework in Electrical or Computer Engineering, Computer Science, Software Engineering, data science, AI/ML, or an 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 with hardware acceleration-specific instruction sets; any of Cuda, C7x, or NEON SIMD
• Experience designing audio signal processing software or hardware, including machine-learned algorithms; embedded implementations preferred, but scripting languages such as Matlab or Python also accepted
• Experience with software development tools such as integrated development environments, compilers/linkers, and debugging tools including emulators and profilers
• Applicants must be currently authorized to work in the United States on a full-time basis
• Shure will not sponsor applicants for work visas
• Graduate students, or undergraduates with at least one year of DSP coursework, are considered a plus
• Understanding of embedded platform development is a plus
• Project work with AI/ML algorithms is a plus
• Knowledge of psychoacoustics is a plus
• Experience with A/V conferencing products and features is a plus
• Algorithm research via survey of technical literature is a plus
• Experience with microphone arrays is a plus
• Knowledge of HRTFs and other binaural audio recording/rendering concepts is a plus
• Knowledge of 3-D Audio, Immersive Audio, or Augmented Reality is a plus
• Experience with test and measurement equipment including audio analyzers and oscilloscopes is a plus

Demonstrates expertise in Digital Signal Processing and Machine Learning, with proficiency in C/C++ programming and experience in audio signal processing software development. Capable of optimizing algorithms for various CPU architectures and collaborating effectively on advanced development projects.

• Digital Signal Processing
• Machine Learning Algorithms
• C/C++ Programming
• Audio Signal Processing
• CUDA/NEON SIMD

• Digital Signal Processing
• Machine Learning
• C Programming
• C++ Programming
• Assembly Language
• Audio Signal Processing Software
• Embedded Systems Development
• Algorithm Optimization
• Audio Encoding
• Inter-Device Network Communication

• Collaboration
• Presentation Skills
• Organizational Skills

• Audio Conferencing Products
• Psychoacoustics
• Microphone Arrays
• HRTFs
• 3-D Audio
• Immersive Audio
• Augmented Reality

• Matlab
• Python
• Integrated Development Environments
• Compilers
• Debugging Tools
• Audio Analyzers
• Oscilloscopes