NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Senior Deep Learning Algorithm Engineer
November 15
NVIDIA
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
Description
• Understand, analyze, profile, and optimize deep learning training 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.
Requirements
• PhD in CS, EE or CSEE or equivalent experience. • 2+ years of experience. • Strong background in deep learning and neural networks, in particular training. • 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. • Strong fundamentals in algorithms. • Proven experience with processor and system-level performance modelling. • GPU programming experience (CUDA or OpenCL) is a strong plus but not required.
Benefits
• Equity • Benefits
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