Senior Developer Technology Engineer - Edge Agentic AI

$152k - $288k • US, CA, Santa Clara

Posted 1d ago

Remote Work Policy

On-site

Categories

AI Agent Engineer

About the job

At NVIDIA, we are at the forefront of AI innovation, aiming to define the next era of computing where our GPUs power intelligent systems. As a Developer Technology Engineer, you will collaborate with industry partners and contribute to open-source projects to enable professional agentic AI workflows at the edge, leveraging NVIDIA's RTX and DGX platforms. This role provides a unique opportunity to work with exceptional talent and significantly impact the evolving landscape of enterprise and consumer agentic AI.

Responsibilities

  • Collaborate with internal engineering, product teams, external developers, and ISVs to address end-to-end agentic AI GPU deployment challenges on NVIDIA RTX & DGX.
  • Utilize profiling and debugging tools to analyze demanding accelerated agentic AI workflows and identify system utilization issues impacting performance.
  • Conduct training sessions, develop sample code, and host presentations to guide efficient end-to-end agentic AI deployment for optimal runtime performance.
  • Enhance LLM & GenAI user experience through feature and performance improvements in open-source software like GGML, Llama.cpp, Ollama, vLLM, and ONNX Runtime.
  • Influence next-generation GPU features by providing feedback from real-world workflows and partner/customer needs to GPU driver, architecture, and research teams.
  • Provide technical leadership and mentorship to junior engineers, fostering an inclusive and high-performing team environment.

Requirements

  • Over 5 years of professional experience in local GPU deployment, profiling, and optimization.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Strong proficiency in C/C++, Python, software design, and programming techniques.
  • Familiarity and development experience on both Windows and Linux operating systems.
  • Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
  • Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  • Excellent interpersonal and communication skills, with a passion for staying updated on AI advancements.

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Eligibility for equity

About nvidia

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