Nvidia Senior Deep Learning Performance Architect 

United States, California 

394732405

What you will be doing:

• As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning.

• Prototype key deep learning and data analytics algorithms and applications.

• Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.

• Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping.

• Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:

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

• 4+ years of relevant work 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 power efficient designs, energy efficient high performance computing, 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.