ADAS Feature Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ADAS Feature Engineer (AI): Developing application-layer software that connects AI capabilities to real vehicle behavior with an accent on C++ feature logic, validation tools, and safety-aware decision systems. Focus on building robust, testable features that translate model outputs into reliable real-world driving performance.
Location: Must be based in or able to work from our office in Leonberg, Germany (Hybrid role).
Company
is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products for automated driving.
What you will do
- Design and implement C++ application software for ADAS and active-safety vehicle features.
- Build feature-level logic including state machines, fallback behaviors, and safety-aware decision logic.
- Collaborate with ML engineers to translate model outputs and limitations into vehicle behavior.
- Debug and validate feature performance using logs, simulation, replay, and vehicle testing.
- Define metrics and test strategies to ensure ADAS feature robustness and quality.
- Work cross-functionally with product, systems, and vehicle integration teams to deliver engineering solutions.
Requirements
- Strong C++ software engineering experience in production or safety-relevant systems.
- Hands-on experience in ADAS, autonomous driving, robotics, or vehicle software.
- Practical understanding of vehicle feature development, including real-world testing and debugging.
- Ability to reason about vehicle behavior, sensor inputs, timing, and failure modes.
- Experience working cross-functionally with ML, perception, or controls teams.
- Quality mindset with experience writing testable, maintainable software.
Nice to have
- Experience with ADAS features like AEB, ACC, or lane keeping.
- Familiarity with ML/AI-based autonomy systems.
- Experience with ROS, Linux, Bazel, CMake, Docker, or CAN.
- Experience with HIL/SIL, scenario-based testing, or NCAP-style validation.
Culture & Benefits
- Hybrid working policy combining office collaboration with remote flexibility.
- Core working hours to support work-life balance.
- Inclusive and diverse work environment focused on innovation and learning.
- Opportunity to work on cutting-edge Embodied AI technology.
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