NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA, the leader in AI computing, and become part of a team that is transforming the future of the professional Windows AI industry! As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners to help them adopt groundbreaking advancements in AI and accelerated computing on NVIDIA RTX. Located in Wuerselen, Germany, our team is dedicated to support application developers to ensure the best end user experience on NVIDIA RTX, working on exciting and impactful projects. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise AI.

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.

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. If you're creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We accommodate individuals with disabilities during the job application, interview, work tasks, and benefits process. Contact us for assistance.

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