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Senior Deep Learning Algorithm Engineer

NVIDIA· Engineer, Sys SW
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Hybrid (Ho Chi Minh City), RemoteFull-timePosted 7mo ago

About the role

Senior DL Algorithms Engineer focused on performance analysis and optimization for deep learning training/inference across hardware/software stacks, from GPU architecture to DL frameworks, with production-quality software delivery and tooling.

Responsibilities

  • Understand, analyze, profile, and optimize deep learning training and inference workloads on state-of-the-art hardware and software platforms.
  • Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.
  • Implement production-quality software across NVIDIA's deep learning platform stack.
  • Build tools to automate workload analysis, workload optimization, and other critical workflows.

Qualifications

  • 5+ years of experience.
  • MSc or PhD in CS, EE or CSEE or equivalent experience.
  • Strong background in deep learning and neural networks, both training & inference.
  • Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
  • Proven experience analyzing, modeling and tuning application performance.
  • Programming skills in C++ and Python.

Skills

Required:Deep learningComputer architecturePerformance modeling/tuningC++Python
Nice to have:LLM inference frameworksGPU programming
Last updated Jul 3, 2026. Interested? Apply on the company site.

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

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