Nvidia Senior Deep Learning Performance Architect 

United States, California 

83587091

What you will be doing:

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

• 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 energy efficiency considering deep learning workloads, modeling and explore efficient architectures.

• 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 Degree, PhD (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering.

• 6+ 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.