Senior Research Engineer

At Nuance, we empower people with the ability to seamlessly interact with their connected devices and the digital world around them.  We are creating a world where technology thinks and acts the way people do by designing the most human, natural, and intuitive ways of interacting with technology.

Our nimble technology uses analytics and advanced algorithms to transform the inanimate into animate and reduce complicated processes into simple ones.

Join our Enterprise team…great customer service starts here. We design virtual assistants for intelligent and effortless customer service helping customers find the information they need using whatever channel they prefer.

Summary: This engineering position is opened within the Core Technology Engine group, which is responsible for the development, productization and maintenance of all AI engines within Nuance. More specifically, the person will be part of an energetic team developing and tuning advanced speech enhancement solutions for multi-user speech applications on embedded platforms. 

Responsibilities:

• Analysis of embedded device constraints and requirements (audio and video).
• Integration support of Nuance’s speech enhancement solution on device.
• Accomplishment of audio path measurements, analysis of test results and support for audio related issues.
• Configuration and tuning of Nuance’s technology for the target device.
• Implementation of new features, code analysis, bug fixing and optimization for performance.

Qualifications

Number of Years of Work Experience: 3-5

Required Skills:

• Academic background in digital signal processing, speech and audio processing or similar
• Programming skills in MATLAB, Python and C/C++.
• Excellent algorithmic and analytical skills.
• Good interpersonal communication skills (listening and delivering).
• Ability to work with teams spread over many countries and continents.

Preferred Skills:

• Experience in software development for embedded systems in either automotive, consumer electronics or telecommunications.
• Familiarity with embedded hardware and operating systems (e.g. Android, embedded Linux).
• Knowledge of audio/speech enhancement processing components deployed in hands-free and ASR applications.
• Experience with computer vision for speaker localization and tracking.
• German is a plus

Education: The candidate should have a Bachelor's or Master’s Degree in Electrical Engineering, Communications Technology or in a related field; industry experience in one of these domains is preferred. An academic background in digital signal processing, speech and audio processing is desired.