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# Principal Developer Technology Engineer, Artificial Intelligence

- **Company:** Nvidia what
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Engineering, Natural Language Processing, OpenMP, Performance Tuning, Recommender Systems, Software Engineering, System Software, Graphics Processing Unit (GPU), Deep Learning, Parallel Computation, Information Technology
- **Published:** August 23, 2026
- **Apply:** https://www.jobfinder.de/job/principal-ai-developer-technology-engineer/

## About the Role

fundamentals.Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.Ways to stand out from the crowd:Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.Excellent understanding of linear algebra.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As

## Description

optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.What we need to see:An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).You have 15+ years of relevant experience in software development or research work.Programming fluency in C/C++ with a deep understanding of algorithms and software development.A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.Hands on experience doing low-level performance optimizations.In-depth expertise with CPU and GPU architecture


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