Senior Developer Technology Engineer - Edge Agentic Ai

Details

At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. 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.

Responsibilities

• 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.
• Provide technical leadership and mentorship to junior engineers, encouraging 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.

Ways to stand out from the crowd

• 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.

Benefits

• Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
• You will also be eligible for equity and benefits.