Cuda Jobs in Germany

In this role, you will develop computer vision applications in Rust and C++, integrating DNNs and OpenCV, optimizing performance, and conducting research in areas like Edge AI and clustering.

In this role, you will define, design, and implement the software architecture for a microscopy platform, developing user-centered graphical applications with C++ and Python while ensuring performance and stability.

In this role, you develop high-performance computer vision applications in Rust and C++, including DNNs and OpenCV, while actively contributing to innovative research projects in Edge AI and performance optimization.

In this role, you will develop software for RISC-V SoCs, work on compilers and simulation tools, write firmware, and optimize signal processing under real-time constraints.

In this role, you will develop platforms and tools for the machine learning lifecycle, build ML training pipelines, and create REST APIs to deliver ML services while collaborating closely with data and MLOps teams.

In this role, you will develop ML and AI solutions for automated driving, from data preparation and training to evaluation and deployment on cloud and edge platforms.

In this role, you closely collaborate with research and academic partners, support the integration of NVIDIA technologies, and drive high-performance computing projects.

In this role, you will develop ML systems, implement end-to-end pipelines, optimize models for cloud deployment, work on secure data platform integration, and support teams in model delivery.

In this role, you will develop image processing modules for real-time applications, implement C/C++ software on Linux, and work closely within a Scrum team on innovative solutions.

In this role, you will develop computer vision applications in Rust and C++, actively engaging in research topics like Edge AI while optimizing the performance of existing systems.

You analyze and preprocess data, develop machine learning models, and collect data. Additionally, you implement algorithms on MCUs and work closely with hardware and sensors in the embedded domain.

In this role, you will build computing infrastructures for acoustic simulations, develop CI/CD pipelines, automate hardware tests, and efficiently manage and provide access to massive data sets.

In this role, you will design scalable cloud and hardware solutions for AI workloads, optimize storage and networking, and implement security and management measures for production systems.

In this role, you develop algorithms for generating synthetic data and 3D simulations to train robots in complex scenarios, enhancing their perception and decision-making capabilities.

In this role, you will develop robust simulation and data pipelines within the AI/Perception team to create synthetic 3D scenes for robot training and optimize their behavior models in complex environments.