Nvidia Developer Technology Engineer - Windows Enterprise AI Platform 

Germany, North Rhine-Westphalia 

806318424

What you'll be doing:

• Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform.

• Apply powerful profiling and debugging tools for analyzing most demanding GPU-accelerated end-to-end AI applications to detect insufficient GPU utilization resulting in suboptimal runtime performance.

• Conduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance on NVIDIA ARM-based SoCs.

• Contribute code to internal and external projects, including open source.

• Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs.

What we need to see:

• 5+ years of professional experience in local GPU deployment, profiling and optimization.

• BS or MS degree in Computer Science, Engineering, or related degree.

• Strong proficiency in C/C++, software design, programming techniques.

• Familiarity with and development experience on the Windows operating system.

• Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.

• Strong verbal and written communication skills in English and organization skills, with a logical approach to problem solving, time management, and task prioritization skills.

• Excellent interpersonal skills.

Ways to stand out from the crowd:

• Experience with GPU-accelerated AI inference driven by NVIDIA APIs, specifically cuDNN, CUTLASS, TensorRT.

• Detailed knowledge of the latest generation GPU architectures.

• Confirmed expert knowledge in Vulkan and / or DX12.

• Experience with AI deployment on NPUs and ARM architectures.

• Contributions to open source projects.