ADAS - C++ Dev Trailer Assist-1

Job Summary

Job Title: ADAS - C++ Dev Trailer Assist

Experience: 3 to 8 years

BU: CARIAD Business Unit - India

Location: Whitefield, Bangalore

Key Responsibilities

• Develop and maintain high-performance software in C++ (C++14/17) for ADAS and autonomous driving applications.
• Contribute to perception, situation interpretation and scene understanding, trajectory planning and behavior state machines.
• Contribute to automated trailer reversing, parking, and low-speed maneuvering, including planning and controlling articulated vehicle trajectories.
• Knowledge of MIL/SIL/HIL testing, scenario-based validation, and automotive functional safety principles.
• Perform software design, implementation, debugging, unit testing, and integration testing.
• Analyze simulation and vehicle-test data & traces to identify bugs and field issues
• Support SIL/MIL/HIL/ recompute and vehicle-level testing of ADAS functions.
• Good knowledge of software development in Bazel, debugging, profiling, and optimization.
• Experience with Git and modern CI/CD development environments
• Participate in code reviews and ensure compliance with automotive software development standards and coding guidelines.
• Contribute to continuous improvement of algorithms, software architecture, performance, robustness, and maintainability.
• Work on embedded Linux / QNX systems for real-time applications

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to understand complex vehicle/environment interactions.
• Strong debugging and root-cause-analysis capabilities.
• Good communication and collaboration skills.
• Ability to work effectively in a multidisciplinary team.
• Strong ownership and commitment to software quality.
• Ability to work in an agile development environment.
• Comfortable working with safety-critical and quality-sensitive automotive software.

Nice-to-Have Skills

• Experience with ADAS Level 2/Level 2+ or higher automation functions.
• Understanding of vehicle and trailer kinematics, dynamics, and constraints, including articulation-angle limits, jackknifing prevention, and maneuverability constraints.
• Familiarity with hitch-angle estimation, trailer detection, and trailer geometry calibration using camera, radar, ultrasonic, or other vehicle sensors.
• Experience with closed-loop control, vehicle trajectory tracking, and simulation-based validation of automated maneuvering functions
• Knowledge of machine-learning-based perception systems and their interfaces.
• Python scripting for test automation and data analysis.
• Experience with large-scale automotive software platforms.

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