Senior Industrial Innovation Engineer – Physical AI & Robotization (F/M/D)

ARaymond; Saint-Louis; On-site; EUR 90,000 - 130,000; Full time

Job summary

ARaymond is seeking a Senior Industrial Innovation Engineer to lead Physical AI and robotization initiatives across its Saint-Louis site and network. You will drive concept generation through prototyping, validation and industrial deployment in a multidisciplinary, international setting.

Strong autonomy and hands‑on robotics experience are essential. You will translate emerging AI and robotics capabilities into validated demonstrators, using digital twins, sim-to-real transfer and edge AI within

Qualifications

• 5+ years hands-on experience developing robotic systems in real environments.
• Proven ability to mature robotic capability from prototype to deployment on hardware.
• Background in manufacturing or industrial settings; automotive/high‑mix supplier is a plus.
• Strong software engineering fundamentals in C++ and Python, with CI/CD practices.
• Knowledge of perception, localization, navigation, manipulation and motion planning.

Responsibilities

• Develop Physical AI and robotization solutions, defining, prototyping and validating autonomous capabilities.
• Design, test and deploy robotic and mechatronic solutions from concept to deployment.
• Apply simulation and digital twins to accelerate evaluation and validation.
• Collaborate across multidisciplinary teams and with international partners.
• Drive innovation roadmaps and share best practices across the network.

Skills

Strong software engineering

C++

Python

Robotics middleware

Real-time control

Digital twins

Perception & localization

Cross-functional collaboration

International teamwork

Tools

C++

Python

Robotics middleware

Simulation tools

Edge computing platforms

Job description

Senior Industrial Innovation Engineer - Physical AI & Robotization (F/M/D)

As a Senior Industrial Innovation Engineer - Physical AI & Robotization at Rayce in Saint-Louis or any manufacturing entities in the A Raymond Network, you will drive the development of next-generation robotic systems and advanced industrial solutions for the ARaymond network. Operating within a multidisciplinary team, you will contribute from early ideation and concept generation through process design, prototyping, validation and industrial deployment.Leveraging a strong multiphysics mindset combining mechanics, electronics, automation, robotics, AI and industrial systems, you will help transform emerging technologies into practical and scalable solutions.You will act as a key contributor to ARaymond Manufacturing Process Innovation Physical AI and robotization initiatives, translating emerging capabilities such as Vision-Language-Action (VLA) models, reinforcement and imitation learning, digital twins, sim-to-real transfer and edge AI into validated demonstrators and concepts from IRL2 to IRL6. You are self-driven and autonomous, willing to support where necessary. You will work within both a startup-like innovation environment and the structure of a global industrial enterprise. At Rayce, you will experience collaboration within an international and multicultural team dedicated to shaping the future of industrial technologies.

• In close collaboration with ARaymond-internal and external partners, develop Physical AI and advanced robotization solutions - defining, prototyping and validating autonomous capabilities including perception, planning, learning, control and safe human-robot collaboration.
• Contribute to the ideation, design and development of systems and demonstrators, integrating multiphysics principles across mechanical, electrical, automation, robotics and AI domains.
• Design, develop, test and deploy robotic and mechatronic solutions, from concept generation through physical implementation, validation and demonstration.
• Develop and optimize innovative manufacturing processes and industrial solutions, ensuring alignment between product design, industrial feasibility, and operational performance.
• Apply simulation, digital twins and advanced engineering methodologies to accelerate concept evaluation, system validation and industrial deployment.
• Conduct hands-on prototyping, experimentation and performance analysis, transforming ideas into tangible and validated products, processes and industrial demonstrators.
• Drive collaborative innovation across multidisciplinary teams, identifying emerging technologies, contributing to technology roadmaps, and promoting knowledge sharing and best practices throughout the ARaymond network.
• 5+ years of hands-on experience developing robotic systems that operate autonomously in real environments
• Demonstrated track record of maturing robotic capability from prototype (e.g. simulation) to actual deployment on physical hardware
• Industrial experience (manufacturing, logistics, quality inspection or comparable) strongly appreciated; automotive / high-mix supplier context is a plus

Skills

What we need

• High curiosity to discover and learn about new technologies, emerging concepts and approaches, mainly in the fields of physical AI and robotization but also beyond, paired with a strong motivation to test and implement the relevant ones.
• Strong software engineering fundamentals in C++ and Python, with testing, code review, version control and CI/CD
• Hands-on experience with state-of-the-art robotics middleware and real-time robot control, from sensor and hardware integration to motion execution
• Solid command of core robotics methods - perception, localization, navigation, manipulation and motion planning - with both classical and machine-learning-based approaches
• Proven ability to bring robotic solutions from concept to reliable operation on real hardware in industrial conditions
• Awareness of safety requirements and standards for industrial robots and collaborative applications
• Good communication skills with an ability and disposition to explain complex technical concepts to cross-functional and non-expert stakeholders
• Ability to work with international teams.
• Ability to travel locally and internationally as required.
• Industrial experience in manufacturing, assembly, intralogistics or quality inspection, ideally in a high-mix production environment

What makes you distinctive

• Practical experience with machine learning for robotics using common deep-learning frameworks, e.g. visual perception, learning from demonstration, reinforcement learning or vision-language-action approaches
• Working knowledge of robotic simulation and digital twins, including simulation-to-reality transfer methodologies
• Experience deploying AI models on embedded / edge computing platforms under real-time and safety constraints
• Familiarity with quality and regulatory frameworks for industrial AI applications
• Innovation-driven mindset with a passion for turning ideas into tangible solutions.
• Creative problem solver capable of connecting technologies across disciplines and identifying unconventional opportunities.
• Strong systems-thinking approach, with the ability to understand interactions between mechanical, electrical, software and AI domains.
• Entrepreneurial spirit and willingness to explore uncertainty at low innovation-readiness levels.
• Collaborative innovator who thrives in multidisciplinary and multicultural teams.
• Curious, open-minded and eager to continuously learn emerging technologies and methodologies.
• Hands-on engineer who enjoys experimentation, rapid prototyping and iterative development.
• Strong ownership and execution capability, balancing creativity with pragmatism.
• Effective communicator able to inspire and engage stakeholders around new concepts and technologies.

Your strengths

• Familiarity with foundation and world models for robotics and with emerging general-purpose robot platforms, including humanoids
• Experience with autonomous mobile robots or adaptive / force-controlled manipulators in production or advanced pilot settings
• Working knowledge of industrial data infrastructure and shopfloor IT / OT integration, from edge to cloud
• Know-how in agile development methods and experience working in international, multi-site organizations