A Moving Experience.

Fantastic opportunity to work in conjunction with our partner on top leading-edge technology, driving innovation in the automotive marketplace. Define the speech framework software package in cooperation with customers and R&D. Define and develop the Android AIDL interfaces to the Android speech assistant and to other Android components. This includes data preparation for different use cases and robust system design regarding latency, memory and CPU consumption, application lifecycle management and optimization of startup time.

Responsibilities:

• Analyze product requirements and liaise with R&D and developers in order to define framework configuration and setup
• Work together with framework team on requirements and optimal configuration for specific customer projects
• Implement high level, customer specific speech dialog interface using Android infrastructure and AIDL description.
• Analyze and implement dependencies to other Android native interfaces to the customer specific Android Speech Assistant and to different speech-controlled applications including cloud-based components.
• Perform memory and CPU measurements on target platform
• Work together with development and R&D for improving latency, memory and CPU consumption
• Work together with project team on localization and reproduction of defects.

Qualifications:

• Minimum years of work experience: 8
• Strong experience with Android, Java, Kotlin, and C/C++
• Detailed understanding of Android architecture and elements like AIDL, Binder,
  Lifecycle, System Services, Android Framework, AOSP
• Programming with scripting language Python
• Excellent oral and written communication skills in English and German
• Positive "can-do" attitude, well organized, focusing on achieving results cost-effectively
• Ability and willingness to handle occasional peak demands
• Willingness to travel for short trips.

Preferred skills:

• Source control tools (Git/GitLab and Artifactory)
• Embedded software development
• Unit Test Frameworks (Google Test and Jest)
• Atlassian tools (Jira and Confluence)
• Speech recognition or related technologies
• Agile methods like SCRUM
• ASPICE

Education:

Bachelor or master’s degree in computer science, Electrical Engineering, Physics, Software Engineering, Computer Linguistics or equivalent

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:

• 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.