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1 день назад

Robotics Perception Architect (AI)

Формат работы
remote (только Germany)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Robotics Perception Architect (AI/Robotics): Designing and owning the end-to-end architecture of robotics perception systems for outdoor vehicles with an accent on sensor fusion, real-time processing, and Physical AI. Focus on integrating computer vision and SLAM into scalable production environments and optimizing performance for safety-critical conditions.

Location: Must be based in Germany (Remote/Office)

Company

hirify.global is a global provider of software development and AI services, collaborating with industry leaders to advance physical AI and multi-fleet management systems.

What you will do

  • Define end-to-end architecture for robotics perception, including sensor selection and data pipelines.
  • Design modular solutions integrating CV, sensor fusion, and AI/ML across edge and cloud environments.
  • Translate business requirements into architectural blueprints, roadmaps, and technology decisions.
  • Establish AI/ML strategies for model selection and data lifecycle management.
  • Integrate perception components with navigation, manipulation, and planning systems.
  • Lead engineering teams through design reviews and architectural standards enforcement.

Requirements

  • 8+ years of software development in C/C++ and Python, with 4+ years in lead or architect roles.
  • Hands-on expertise in AI-based robotics perception and computer vision in production environments.
  • Proficiency with TensorFlow, PyTorch, OpenCV, ROS/ROS2, and Point Cloud/RGB-D processing.
  • Experience with SLAM, localization, mapping, and motion planning (e.g., MoveIt).
  • Practical knowledge of simulation tools such as Isaac Sim, Blender, or Genesis.
  • Candidate must be based in Germany.

Nice to have

  • Experience deploying AI and CV models using MLOps and CI/CD pipelines.
  • Familiarity with cloud platforms like AWS or Azure.
  • Strong mathematical foundation for implementing efficient algorithms.

Culture & Benefits

  • Opportunity to work at the intersection of AI and real-world hardware.
  • Involvement in both greenfield development and retrofitting existing intelligent systems.
  • Collaboration with a globally recognized industry leader.
  • Professional growth within a specialized robotics consulting practice.

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