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software engineer (m/f/d) jobs near neu ulm, by

Senior Research Engineer AI Speech Enhancement

Cerence -
Ulm

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Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Signalverarbeitung
Informationssicherheit
Master
C
Machine Learning
Softwareentwicklung
Elektrotechnik
Künstliche Intelligenz
Führungserfahrung
Python

Vollständige Stellenbeschreibung

A Moving Experience.

Daily Functions / Responsibilities:

Develop advanced, robust DNN-based speech enhancement solutions for automotive applications and adjacent domains such as healthcare, robotics, and home entertainment
Design, implement, and maintain scalable tools and workflows for training and evaluating DNN models
Support business development by creating proof-of-concepts (PoCs) and participating in customer demonstrations
Drive the integration of new technologies into production-ready products and solutions
Analyze and evaluate emerging technologies and competitive offerings
Mentor and supervise interns and master’s students
Contribute to the company’s IP portfolio by drafting and supporting patent applications

Requirements:

Education: Master’s degree or PhD in Electrical Engineering, Communications Engineering, Computer Science, or a related field. Industry experience in one or more of these domains is considered an advantage.

Minimum years of work experience: 3

Required skills:

Proven experience in developing and training machine learning models, particularly deep neural networks (DNNs)
Strong expertise in digital signal processing, with a focus on speech and audio processing
Solid programming skills in C and Python
Good understanding of software development methodologies, processes, and best practices
Positive, proactive mindset with strong teamwork and collaboration skills
Proficiency in English and German, both written and spoken

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
Following security procedures to report any suspicious activity.
Having respect for corporate security procedures to allow those procedures to be effective.
Adhering to company's compliance and regulations.
Encouraging to follow a zero tolerance for workplace violence.

Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
Demonstrative knowledge of information security through internal training programs.

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