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Tier-1 brand and Bengaluru location increase applicant density, but specialized ADAS skills moderate competition.
Role requires automotive ADAS, AUTOSAR, CAN and MBD expertise, making cross-industry transferability low.
Explicit 6-8 years plus mandatory MATLAB/Simulink, embedded C/C++, AUTOSAR, ASPICE, and toolchain skills make filtering strict.
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Design, develop, test, and integrate ADAS algorithms for features like lane detection, adaptive cruise control, emergency braking, and traffic sign recognition.
Collaborate with perception, motion planning, control teams, and vehicle test teams to optimize algorithm performance and ensure seamless system integration.
Lead technical aspects of the team and manage delivery of the algorithm stack for customer projects using sensor data from cameras, radar, lidar, and ultrasonic sensors.
6-8 years of experience in ADAS algorithm development.
Proficient in MATLAB & Simulink, Embedded C/C++, and model based development using Simulink and Stateflow or embedded C/C++ expertise.
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.
Experience with ASPICE, version control (Plastic, Git), issue tracking (Jira), and build tools (e.g., CMake/Bazel).
Experienced in automotive embedded software development and familiar with communication protocols like CAN, Flexray, Ethernet.
Technically capable of leading a team and handling end-to-end ADAS algorithm lifecycle including testing (MIL testing, Back to Back tests), code profiling, and optimization.
Comfortable working in cross-functional teams with vehicle test groups and adept at using DevOps tools and debugging tools such as Canoe and Lauterbach debugger.