Automotive Embedded Android / ADAS Engineer

Bhavitha Tech 

📍 Bengaluru, India 🇮🇳

full-time
senior
Posted —

Key Skills

AndroidAOSPC++OpenGLIPC

Industry

AutomotiveConsumer Electronics

Job Description

One of Tier-1 Euorpean MNC in Automative Technology industry in Bangalore seeking for Automotive Embedded Android / ADAS Lead & Senior Engineers.


Responsibilities

Design & development of advanced driver assistance systems (ADAS) that provide a 360-degree, bird's-eye view around a vehicle using Android Open Source Project (AOSP). Hands on experience with Android based application development, IPC mechanism Binder, latency, performance analysis.

Algorithm Development : Design, develop, and implement image processing algorithms in C/C++, JAVA for real-time surround view systems.

Android development : Android Binder IPC mechanism, latency and performance Analysis.

Image Processing & Stitching: Integrate inputs from multiple wide-angle cameras and use advanced software to correct distortion, perform brightness/color correction, and stitch the video feeds into a seamless, unified 360-degree panoramic view.

System Integration : Integrate surround view solutions into the vehicle's infotainment system, cockpit domain controller, or other host platforms

Optimization: Optimize software for performance on automotive-grade embedded systems and GPUs using APIs like OpenGL, ensuring minimal latency.

Collaboration: Work with cross-functional teams (hardware, systems engineers, UX/UI) to define architectural designs and ensure the final product meets functional and safety requirements

Qualifications

B.E in Computer Science, Electronics Engineering, or a related field.

Experience working on Android Open Source Project (AOSP)

Strong programming skills in C/C++, MATLAB, JAVA with experience in Android OS development

Experience with embedded software development and real-time operating systems i.e Android

Experience with Image processing and Graphics APIS(OpenGL/Vulkan etc.)

Familiarity with automotive communication protocols and camera interfaces (e.g., GMSL, MIPI-CSI).

Experience with deep learning frameworks and GPU programming is often a plus.

Experience of 6 to 12 years of hands-on development