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2 дня назад

ADAS Feature Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Japan/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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