- Works closely with data 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
- Coordinate and manage 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 and new functionalities of signal processing prototypes
- Wears multiple hats on a small team with independence and an openness to solve problems as they are discovered
- Stays up to date with latest advancement in software, AI/ML, and emerging technologies to contribute fresh ideas and insights to the team
- Generates intellectual property and captures inventions in disclosures for patent pursuits
- Masters or Bachelors in electrical engineering/DSP, computer science, computer engineering, 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 a 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
- 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 microphones types and characteristics such as dynamic, condenser, MEMs, polar patterns, microphone arrays, etc.
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Engineer Associate Staff, DSP Machine Learning - Niles, United States - Shure
Description
Overview:
Calling all audio industry disruptors We are on the lookout for a passionate and highly skilled Associate Staff Software Engineer with a flair for DSP Machine Learning. Join our exceptional team and help us turn the audio world upside down
As a crucial member of our dynamic machine learning and artificial intelligence lab, you will have the exhilarating task of implementing cutting-edge audio functionality. This includes mind-blowing machine learning algorithms and Digital Signal Processing (DSP) that will take our innovative products to the next level.
But it doesn't stop there collaboration is the name of the game You will seamlessly work with diverse teams across the company to showcase and integrate emerging technologies into Shure's groundbreaking products. Your exceptional skills will also be put to the test as you optimize the performance and implementation resources of audio machine learning systems, ensuring jaw-dropping audio quality for candidate algorithms.
We are seeking someone with an unwavering passion for groundbreaking innovation. A proven track record of implementing audio functionality, machine learning algorithms, and DSP is a must. And, of course, you must possess a deep understanding of software architectures and real-time signal processing requirements.
Are you ready to embark on an electrifying journey?
Responsibilities:Experience with any of the following highly desirable:
WHO WE ARE
Shures mission is to be the most trusted audio brand worldwide and for nearly a century, our Core Values have aligned us to be just that. 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. And quality doesnt stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.
Shure Incorporated is headquartered in Niles, Illinois, with remote and hybrid opportunities throughout the United States. We have more than 35 regional sales offices, engineering hubs, and manufacturing facilities throughout the Americas, EMEA, and Asia.
THE MIX MATTERS
Dont check off every box in the job requirements? No problem We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If youre excited about this role, believe youve got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply
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 retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, commuter benefits, employee assistance programs, and volunteering/community involvement opportunities. To learn more, visit our careers page at
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