Senior Developer Technology Engineer - Edge Agentic AI

About the role

As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and pioneering open-source projects to enable professional agentic AI workflows at the edge powered by NVIDIA's RTX and DGX platforms. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the evolving landscape of enterprise and consumer agentic AI.

What You'll Be Doing

• Work closely across internal engineering and product teams as well as external app developers and enterprise ISVs on solving local end-to-end agentic AI GPU deployment challenges on NVIDIA RTX & DGX.
• Apply powerful profiling and debugging tools for analyzing most demanding accelerated end-to-end agentic AI workflows to detect insufficient system 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 agentic AI deployment targeting optimal runtime performance.
• Improve LLM & GenAI user experience by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, vLLM, 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.
• Providing technical leadership and mentorship to junior engineers, fostering an inclusive and high-performing team environment.

Requirements

• A proven track record 5+ years of professional experience in local GPU deployment, profiling and optimization.
• A 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 Windows and Linux.
• 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.

Preferred qualifications

• Experience with GPU-accelerated AI inference driven by NVIDIA APIs and SDKs, specifically TensorRT-RTX, cuDNN, NVIDIA Model Optimizer.
• Expertise with professional agentic AI use cases, i.e., digital content creation and productivity workflows.
• Experience working with open-source LLM and GenAI software.
• Detailed knowledge of the latest generation GPU architectures.
• Experience with AI deployment on NPUs and ARM architectures.

Pay

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.