Senior Android Automotive Engineer

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 performant 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 to define framework configuration and setup

• Work together with the framework team on requirements and optimal configuration for specific customer projects

• Implement a 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 the target platform

• Work together with development and R&D for improving latency, memory, and CPU consumption

• Work together with the project team on localization and reproduction of defects.

Qualifications:

• Minimum years of work experience: 5

• 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 the scripting language Python

• Excellent oral and written communication skills in English

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