Robotics Perception Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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