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Tier-1 brand and mid-level title increase applicant density despite specialized ADAS skillset.
Role requires automotive ADAS and embedded expertise, limiting transferability across industries.
Explicit 6–8 years plus required ADAS, MATLAB/Simulink, embedded C/C++ and automotive standards.
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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 with perception, motion planning, and control teams to integrate and tune ADAS features with vehicle testing teams.
Develop and maintain software tools for data analysis, visualization, testing, and manage releases for internal and external customers.
6 to 8 years' experience in ADAS algorithm development.
Proficient in MATLAB & Simulink, Embedded C, C++, and Targetlink.
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.
Experience with ASPICE and version control/issue tracking tools (e.g., Plastic, Git, Jira, Jenkins).
Experienced in automotive embedded software development and Model Based Development using Simulink and Stateflow or embedded C/C++ expertise.
Familiar with automotive communication protocols like CAN, Flexray, Ethernet and embedded operating systems such as Autosar.
Skilled with CI/CD/build management tools, Python, code profiling, optimization, and DevOps tools.