Not specified (assumed to be hybrid or onsite based on industry standards).
Experience with deep learning frameworks
Proficiency in python programming
Understanding of gpu architecture
Nvidia Corporation is hiring a Deep Learning Algorithms Engineer for their Acceleration Computing, Optimization and Tools (ACOT) team. The role focuses on enhancing AI model performance on NVIDIA GPU platforms, requiring collaboration with various teams and expertise in deep learning and performance engineering
Job Summary
NVIDIA is seeking a motivated AI Acceleration & Optimization Engineer to join their team.
You will help improve the performance and efficiency of modern AI models across NVIDIA GPU platforms.
Collaboration with multi-functional teams will support high-performance model deployment for real-world AI workloads.
Matching Summary
Match Score: 85
Nvidia Corporation is hiring a Deep Learning Algorithms Engineer for their Acceleration Computing, Optimization and Tools (ACOT) team. The role focuses on enhancing AI model performance on NVIDIA GPU platforms, requiring collaboration with various teams and expertise in deep learning and performance engineering.
Skills & Requirements
Must-have
Experience with deep learning frameworks
Proficiency in Python programming
Understanding of GPU architecture
Nice-to-have
Experience optimizing AI/ML workloads
Familiarity with quantization techniques
Contributions to open-source ML systems
Key Requirements
Bachelor’s or Master’s degree in relevant field
2–4 years of experience in deep learning
Strong academic/project experience in performance engineering