Senior Engineer, Software Implementation (Machine ...

Overview The Senior Engineer, Software (Machine Learning and Audio) is responsible for implementing audio functionality, including machine learning algorithms and Digital Signal Processing, in applications and in embedded hardware architectures for products in development as well as functional prototypes. Part of a machine learning and artificial intelligence lab, this cross-functional role works with other teams across the company to demonstrate and incorporate emerging technology into Shure's products, possibly including developing innovative IoT device control chatbots with advanced capabilities using natural language processing, retrieval augmented generation (RAG), and integrating tool use and function calling within conversation AI systems. This Senior Engineer will be equally capable of optimizing the performance and implementation resources of audio machine learning implementations, contributing to the audio quality of candidate algorithms, understanding and specifying software architectures, and meeting real-time signal processing requirements. This role will be hybrid based out of our Niles, IL Corporate HQ. Responsibilities Works closely with applied research scientists to iteratively develop, implement, and validate machine learning models for both prototyping efforts as well as product integration. Understands machine learning research code and translates it into efficient and portable C++ inference code. Develops tools for the ML/AI lab such as standalone applications, software libraries, profiling tools, and audio processing simulation tools that demonstrate machine learning and signal processing capabilities. Coordinates and manages a variety of signal processing and data science implementations across hardware/software targets. Benchmarks and optimizes CPU load, memory utilization, and latency on hardware targets. Builds audio pipelines including pre- and post-signal processing wrapped around a machine learning network. Analyzes and suggests changes to layers and components of neural networks to balance model performance with implementation requirements. Suggests model performance targets and tests model performance in a signal chain containing other audio DSP blocks. Provides fast turnaround time of new functionalities and changes of signal processing prototypes. Wears multiple hats on a small team with independence and an openness to solve problems as they are discovered. Designs and implements natural language understanding and generation components for IoT device control chatbots/agents. Develops and integrates retrieval augmented generation (RAG) capabilities to enhance the chatbot's performance and knowledge retrieval. Implements tool use and function calling abilities within the chatbot to enable seamless interaction with various IoT devices. Conducts thorough testing and debugging to maintain high quality and performance standards. Stays up-to-date with the latest advancements in conversational AI, NLP, and related technologies to continuously improve the agentic capabilities. Generates intellectual property and captures inventions in disclosures for patent pursuits. Qualifications Masters or Bachelors in electrical engineering/DSP, computer science, computer engineering, Human-Computer Interaction or a related field. 6+ years work experience in software development (8+ years if Bachelors only). Deep understanding of computational and memory architectures, its relation to efficient embedded implementation of neural networks, and compiler optimizers. Strong proficiency in C/C++. Strong proficiency in optimization using platform intrinsics such as Neon and AVX. Strong proficiency with audio transforms and an ability to recommend optimal audio features for data science problems. Proficiency in low latency, embedded software implementations. Proficiency with DSP fundamentals and algorithms, preferably in audio and speech enhancement, adaptive filtering, beamforming, and source separation. Proficiency with multi-threaded system frameworks and efficient resource management. Proficiency in software development principles and object-oriented design methodology. Experience with machine learning frameworks such as Pytorch, Tensorflow, Tensorflow Lite, Scikit-learn, ONNX; Amazon Web Services for Artificial Intelligence and Machine Learning. Experience with Python and porting to other languages such as C++. Experience with developing and debugging audio issues on target hardware. Experience with any of the following highly desirable: Targeting software to GPUs or other hardware accelerators. Developing software in a Windows, Android, Embedded Linux, or Mac environment. Demonstrates a critical ear for audio quality and understands how to leverage listening tests for development. Good knowledge of microphone types and characteristics such as dynamic, condenser, MEMs, polar patterns, microphone arrays, etc. Deep understanding of working with REST APIs. Specific experience with Azure OpenAI, Azure AI Search, and Azure AI Studio. Experience working with GraphQL. Experience shipping a production RAG application. Strong programming skills in Python. Experience developing with TypeScript. 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. WHO WE ARE Shure's mission is to be the most trusted audio brand worldwide. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. We offer an Associate-first culture, flexible work arrangements, and opportunity for all. PAY TRANSPARENCY Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry's top talent. Base salaries vary based on qualifications, geography, experience, and expertise. The base salary range for this position is between $111,000 - $195,400. This position may also be eligible for our incentive pay program. WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, and employee recognition programs. #J-18808-Ljbffr

Created: 2025-03-01