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Developer Technology Engineer, AI

NVIDIA· Engineer, Tech SW
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Beijing, Shanghai, Shenzhenfull-timePosted 4mo ago

About the role

AI-focused developer technology engineer role at NVIDIA, working on CUDA programming, profiling, and optimization across AI, graphics, ML, and data analytics; collaborate with multiple internal teams and interact with customers; travel occasionally for conferences and on-site visits.

Responsibilities

  • Study and develop cutting-edge techniques in CUDA programming, profiling, optimization for deep learning, graphic, machine learning, and data analytics; perform in-depth analysis and optimization for current- and next-generation GPU architectures.
  • Work directly with key customers to understand problems and provide AI solutions using GPUs.
  • Collaborate with architecture, research, libraries, tools, and system software teams to influence design of next-generation architectures, software platforms, and programming models by investigating impact on performance and developer efficiency.
  • Travel from time to time for conferences and on-site visits with developers.

Qualifications

  • BS, MS, or PhD in engineering or computer science or equivalent experience; domain expertise in LLM, CTR, CV, or HPC helpful (not required).
  • 3+ years experience, programming proficiency in C/C++ and/or Python with strong software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals (linear algebra and numerical methods).
  • Experience with parallel programming, ideally CUDA C/C++.
  • Strong communication and organization skills, logical problem solving, time management, and task prioritization.

Skills

Required:CUDA C/C++PythonC/C++Linear algebra & numerical methodsCommunication & collaboration

Benefits

  • Highly competitive salaries
  • comprehensive benefits package
  • NVIDIA benefits information at www.nvidiabenefits.com/
Last updated Jul 3, 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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