Developer Technology Engineer - Windows Enterprise AI Platform
Job Description
NVIDIA, the pioneer in accelerated computing and AI, is seeking a Developer Technology Engineer for their Windows Enterprise AI Platform team. This role combines deep technical expertise with collaborative partnership, focusing on optimizing AI applications on NVIDIA RTX platforms. Based in Germany, you'll work at the intersection of GPU technology and enterprise AI, helping partners leverage NVIDIA's cutting-edge hardware. The position offers unique opportunities to influence future GPU features while working with world-class talent.
The role involves hands-on technical work with GPU deployment, optimization, and debugging, requiring expertise in C++, CUDA, and Windows development. You'll be responsible for solving complex technical challenges, conducting training sessions, and contributing to both internal and open-source projects. The ideal candidate brings 5+ years of GPU expertise and strong communication skills.
NVIDIA offers a supportive, innovative environment where you'll work on transformative technology. The company values diversity and provides opportunities to make lasting impacts in AI and accelerated computing. This position is perfect for someone passionate about GPU technology, AI deployment, and enterprise solutions, offering the chance to work with leading industry partners and shape the future of AI computing.
Responsibilities For Developer Technology Engineer - Windows Enterprise AI Platform
- Work with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges
- Apply profiling and debugging tools for analyzing GPU-accelerated AI applications
- Conduct hands-on trainings and develop sample code
- Contribute code to internal and external projects, including open source
- Collaborate with GPU driver and architecture teams to influence next generation GPU features
Requirements For Developer Technology Engineer - Windows Enterprise AI Platform
- 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
- Excellent interpersonal skills
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