Vacancy caducado!
- Development of connected car technologies and contributing to the evolution of automotive infotainment, autonomous driving & its supporting technologies in 4G/5G, ADAS, Deep Learning etc., across the globe. Project is working closely with standards bodies, consortiums, automakers and operators on advancing Vehicle-to-Vehicle (V2V) and Vehicle-to-everything (V2X) standards and architectures, and is a key member in the Towards 5G initiative for advancing Cellular V2X (CV2X) capabilities on the road to 5G. With connectivity integrated into the latest infotainment, cluster and telematics systems the goal is to make travel safer, more efficient and enjoyable.
- Understanding of audio frameworks (QNX MMF/io-audio/Dev-A, OpenMAX, Android Multimedia Framework, Android Player (NuPlayer/StageFright), Android Audio System (AudioFlinger, Audio Policy manager, Audio HAL), Linux ALSA Architecture, GStreamer, etc) Experienced with implementing and working with audio processing pipeline for media applications (playback, capture, transcoding, streaming, voice call, analog audio codecs, software defined radio, etc) Strong knowledge with audio CODECs, audio pre/post-processing technologies, audio HW protocols
- C/C programming
- Experience in audio frameworks and device drivers for Android/Linux/QNX. ( AHAL/ALSA/io-audio-deva/Pulse-Audio/Pipewire)
- Device driver programming and debugging with JTAG and other tools.
- Knowledge of ARM processor architecture.
- Knowledge of embedded Linux, QNX or other OS ( kernel configuration, device trees, kernel crash debugging)
- Experience with OpenGL, API/GPU is a plus.
- QNX/openwfd experience is a big plus.
- Yocto build system experience
Vacancy caducado!