Nvidia Senior Software Engineer - Deep Learning 

United States, California 

860685126

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 AI model architectures for fast inference such as 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

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

• 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

• MS, or PhD in Computer Science, Computer Engineering, or closely related field 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.