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Aptiv brand and Bangalore metro, but niche ADAS embedded skillset keeps competition moderate.
Strong automotive ADAS and embedded tooling requirements limit cross-industry transferability.
Explicit 6–8 years ADAS requirement plus mandatory MATLAB/Simulink, Embedded C++, ASPICE, Autosar.
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Design, develop, test, and release ADAS algorithms for features including lane detection, adaptive cruise control, automatic emergency braking, and traffic sign recognition.
Collaborate with perception, motion planning, and control teams to integrate ADAS features and work with vehicle test teams to tune algorithm performance.
Analyze and optimize algorithm performance using multisensor data (camera, radar, lidar, ultrasonic) and develop supporting software tools for data analysis and visualization.
6 to 8 years experience in ADAS algorithm development.
Proficiency in MATLAB & Simulink, Embedded C/C++, and Targetlink.
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
Good understanding of ASPICE and experience with version control and issue tracking tools (e.g., Plastic, Git, Jira, Jenkins).
Experienced in automotive embedded software development with Model Based Development skills using Simulink and Stateflow or strong embedded C/C++ expertise.
Familiarity with automotive communication protocols like CAN, FlexRay, Ethernet and knowledge of embedded OS/software stacks such as AUTOSAR.
Capable of working in cross-functional teams addressing end-to-end ADAS algorithm development, integration, testing, and deployment.