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Senior Developer Technology Engineer - Edge Agentic AI

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5k + equityFull-timePosted 3mo ago

About the role

Developer Technology Engineer focused on enabling professional agentic AI workflows at the edge on NVIDIA RTX & DGX platforms, collaborating across internal teams, external developers, and partners to deploy, profile, and optimize agentic AI workflows with emphasis on OSS AI projects and next-generation GPU features.

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 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 feedback on partner and customer needs.
  • Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment.

Qualifications

  • A proven track record 5+ 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 Windows and Linux.
  • Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
  • Some travel is required for conferences and 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.

Skills

Required:GPU deploymentC/C++PythonWindows & LinuxCUDA & Nsight

Benefits

  • equity
  • comprehensive benefits package
Last updated Jul 24, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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