Senior Deep Learning Kernel Software Performance...

• Analyze, visualize, and optimize software performance using analytical models, simulators, and test suites.

• Collaborate closely across NVIDIA teams such as:

• CUDA Compiler teams to identify performance issues.

• AI/ML training and inference performance teams to identify and optimize critical deep learning layers.

• hardware architecture performance teams to define expectation for emerging deep learning hardware features.

• A Master’s or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience.

• 5+ years of relevant industry or research experience.

• A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.

• A strong background in high performance kernel (such as CUTLASS), work experience on math library performance analysis and profiling to identify performance bottlenecks.

• Fluency in programming languages such as Python, C, C++.

• Experience and familiarity with GPU computing and parallel programming models.

• You have firsthand work experience with analytical performance modeling, profiling, and analysis.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative architect interested in pushing silicon to its highest performance? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.