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Tier-1 brand plus mid-level experience increases candidate competition despite ADAS niche.
Role demands specialized ADAS, Simulink and embedded automotive expertise, limiting cross-industry transfer.
Explicit 6-8 years plus mandatory ADAS, Simulink, embedded and automotive process knowledge.
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Design, develop, test, and optimize ADAS algorithms for features like lane detection, adaptive cruise control, automatic emergency braking, and traffic sign recognition.
Collaborate and integrate these algorithms with perception, motion planning, and control teams ensuring seamless delivery to both internal and external customers.
Lead the team technically and work with vehicle test teams to tune algorithm performance for production vehicles.
6 - 8 years' experience in ADAS Algorithm Development.
Proficient in MATLAB & Simulink, Embedded C, C++, and Targetlink.
Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.
Good understanding of ASPICE and experience with version control and issue tracking tools such as Plastic, Git, Jira, Jenkins.
Experienced in automotive embedded software development with a strong background in model-based development using Simulink and Stateflow or embedded C/C++.
Familiarity with automotive communication protocols (CAN, Flexray, Ethernet) and embedded operating systems like AUTOSAR.
Skilled in algorithm performance tuning, code optimization, DevOps practices, and leading cross-functional technical teams in ADAS projects.