Become a part of NVIDIA’s revolutionary technology as a GPU Engineer specializing in Neural Reconstruction. Utilize your skills in CUDA and PyTorch to optimize GPU performance in advanced AI applications.
This role requires a deep understanding of neural reconstruction and an ability to enhance complex workflows. You will work on profiling neural systems, diagnosing performance issues, and collaborating closely with cross-functional teams to bring innovations to fruition in production settings. Your contributions will help shape the future of AI and computer graphics.
Key Responsibilities:
• Profile and optimize neural reconstruction workflows
• Improve performance for Gaussian Splatting and rendering
• Implement effective benchmarking and regression testing
• Translate Python inefficiencies into fast CUDA solutions
• Ensure performance improvements meet quality standards
Requirements:
• 12+ years in Computer Science or related fields
• Robust skills in Python and C++ programming
• Experience optimizing GPU workloads and performance analysis
• Practical use of performance profiling tools
• Strong articulation of technical concepts to team members
Use your passion for GPU technology and machine learning to drive success at NVIDIA in the exciting field of neural reconstruction.
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