Understanding of software quality practices for safety-critical systems (code review, unit testing, static analysis; automotive standards knowledge is a plus) as well as open-source contributions or published work in AI, robotics, or GPU computing. * Design, implement, and maintain **C++ ADAS functions** for perception, prediction, and planning (e.g., lane keeping, ACC, AEB, traffic-light and object handling) in a safety-critical codebase. * Profile, debug, and optimize C++ and CUDA code to meet strict latency and throughput targets. * Strong modern C++ (C++14/17 or later): templates, RAII, smart pointers, STL, and experience building large codebases. * Solid Python skills for tooling, training scripts, and glue code between data pipelines and C++ components.
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