





Tier-1 automotive brand and Bangalore location increase competition despite niche ADAS specialization.
ADAS embedded algorithm skills are highly automotive-specific and not easily transferable to unrelated industries.
Explicit 6–9 years requirement plus mandatory Embedded C/C++, MATLAB, and ADAS experience increases shortlisting strictness.
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Lead the design, development, integration, and deployment of ADAS algorithms for automotive safety features (e.g., ACC, AEB).
Develop and deliver high-quality embedded software in C and C++ ensuring performance, scalability, and robustness.
Provide technical leadership, mentor team members, and collaborate globally with platform teams and customers to integrate solutions into production programs.
Bachelor's degree in Engineering (Electronics, Electrical, Computer Science, Robotics, Automotive Engineering, or related). Master's preferred.
6–9 years of experience in Automotive Embedded Software Development and/or ADAS Algorithm Development.
Strong hands-on skills in Embedded C and C++ software development and MATLAB/Simulink-based development.
Experience with ADAS features like Adaptive Cruise Control (ACC), Automatic Emergency Braking (AEB), or related safety systems.
Experienced technical leader capable of managing cross-functional and global collaboration in automotive projects.
Proficient in embedded software and model-based development with proven track record in algorithm integration for automotive safety.
Comfortable in customer-facing roles providing technical mentorship and support.