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Nvidia Senior Software Engineer - Deep Learning 
United States, California 
795400398

Today
US, CA, Santa Clara
time type
Full time
posted on
Posted 12 Days Ago
job requisition id

What You’ll Be Doing:

  • Develop highly efficient and low cost AI models and algorithms for computer vision and video AI

  • Optimize the performance, latency and power consumption of AI models on low power processors for deep learning acceleration

  • Deploying deep learning models and optimize the inference stack for real-time performance

  • Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning

  • Closely collaborate with different deep learning software and hardware teams across NVIDIA to influence roadmaps and deliver solutions

What We Need To See:

  • Strong experience of building and optimizing innovative AI model architectures for video use cases

  • Strong experience of developing efficient models with model pruning, distillation, post-quantization and quantization aware training

  • Experience with analyzing and fine-tuning deep learning pipeline performance

  • Experience with building real-time AI models for laptop and cloud use cases

  • Hands-on development skills using deep learning libraries and frameworks such asPyTorch/TensorFlow/ONNX,TensorRT/Triton/WinMLand other neural processing SDKs

  • Collaboration ability to define project scope and roadmap together with the team while independently drive development effort with strong self-motivation

  • 8+ years of relevant engineering or research background in deep learning and/or computer vision

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related fields (or equivalent experience)

Ways to stand out from the crowd:

  • Experience with AI inference accelerating hardware and building/optimizing models on them

  • Background with performance and latency analysis, profiling and tuning of AI workloads

  • Experience with CUDA programming, as well as a real passion for optimizing AI system performance

  • Experience of building platforms for computer vision such as real-time tracking of human face, gaze and body, as well as avatar animation and modeling.

You will also be eligible for equity and .