Senior Developer Technology Engineer - Windows AI Platform

About the role

As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to help them adopt groundbreaking advancements in AI and accelerated computing on NVIDIA RTX. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI.

Responsibilities

• 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.
• Improve Windows LLM & GenAI user experience on NVIDIA RTX by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, ONNX Runtime.
• 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.
• Provide technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment.

Requirements

• A proven track record of 8+ years of professional experience in local GPU deployment, profiling and optimization.
• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• Strong proficiency in C/C++, Python, software design, programming techniques.
• Familiarity with and development experience on the Windows operating system.
• Experience working with open-source LLM and GenAI software.
• Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
• Some travel is required for conferences and for on-site visits with external partners.
• Strong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment.
• Excellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology.

Qualifications

• Experience with GPU-accelerated AI inference driven by NVIDIA APIs, specifically cuDNN, CUTLASS, TensorRT.
• Confirmed expert knowledge in Vulkan and / or DX12.
• Detailed knowledge of the latest generation GPU architectures.
• Experience with AI deployment on NPUs and ARM architectures.

Skills

• Strong proficiency in C/C++, Python, software design, programming techniques.
• Familiarity with and development experience on the Windows operating system.
• Experience working with open-source LLM and GenAI software.
• Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
• Experience with AI deployment on NPUs and ARM architectures.

Benefits

• Widely considered to be one of the technology world’s most desirable employers.
• NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Schedule

• You will also be eligible for equity and benefits.

Application Instructions

• Applications for this job will be accepted at least until May 25, 2026.