Data Scientist (Nvidia)

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

About the Role

At Hybrid Intelligence, we are seeking a Data Scientist with expertise in NVIDIA technologies, Computer Vision, digital twin and Physical AI to join our team in Spain. You’ll collaborate with a multidisciplinary team of AI Engineers, Robotics Engineers, and software developers, contributing to cutting-edge projects.

Every project MATTERS. Are you ready to take on the challenge and grow with us?

What will you do?

• Develop and deploy computer vision models using NVIDIA frameworks and GPU-accelerated libraries.
• Collaborate with cross-functional teams to design scalable and efficient data pipelines for image and video processing, including data streams from robotic systems, digital twins, and physical AI platforms.
• Optimize model performance for real-time inference on edge devices, robotic platforms, and cloud-based digital twin simulations.
• Integrate computer vision models into production systems and robotic workflows, enabling intelligent interaction between physical and virtual environments.
• Contribute to the development of best practices in data science, computer vision, robotics, digital twin integration, and Physical AI—bridging the gap between machine learning and real-world actuation.
  
  

What are we looking for?

• PhD or degree in Computer Science, Engineering, Mathematics, Robotics, Mechatronics, or a related technical field.
• Strong programming skills in Python, with experience in C++.
• Hands-on experience with NVIDIA tools such as CUDA, TensorRT, DeepStream, and cuDNN for GPU-accelerated computing.
• Experience in computer vision libraries like OpenCV, PyTorch, and TensorFlow, with a focus on real-time perception systems.
• Understanding of deep learning architectures (CNNs, GANs, Transformers) and their application in vision-based robotics and digital twin simulations.
• Experience deploying models in cloud environments (AWS, Azure, GCP) and on edge devices, including robotic platforms.
• Familiarity with MLOps tools and practices, including MLFlow, Docker, and Kubernetes, for scalable and automated model lifecycle management.
• Experience working with digital twin environments and integrating AI models into physical systems (Physical AI).
• Excellent communication skills and the ability to clearly document technical designs, experiments, and operational processes.
  
  

We value all applications and encourage candidates from diverse backgrounds to apply. Having a disability certificate will be positively considered as part of our inclusion and diversity policy.

We offer an extensive range of training opportunities, including in-person, online, and certification courses. Even if you don't meet 100% of the required skills, we'd love to get to know you! Our commitment to inclusion and equal opportunities is reflected in our Equality Plan and Ethical Code, which guarantee professional development and equal opportunities for selection in an environment free from discrimination based on ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion, or any other personal, physical, or social circumstance.

Why You'll Love Working Here

We offer a comprehensive set of development and work-life balance benefits, including (but not limited to):

• Buddy Program to support you during your first steps with us.
• Generous time off: 24 vacation days + 2 personal days + December 24th and 31st off. You also have the option to purchase up to 7 additional vacation days per year.
• Continuous learning opportunities through MyLearning, Capgemini University, and our Digital Campuses. You'll have access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, and Education First for language learning (English, French, German, etc.).
• A global DATA & AI community, where you can collaborate with experts from around the world.
  
  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.