Senior Deep Learning Performance Architect

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.

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.

Responsibilities include:

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

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

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

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

Requirements:

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

• 4+ years of relevant work or research experience.

• Strong foundation in machine learning and deep learning fundamentals.

• Strong background in high-performance, power-efficient designs, energy-efficient high-performance computing, performance analysis, and profiling.

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

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

• Firsthand work experience with analytical performance modeling, profiling, and analysis.

You will also be eligible for equity and benefits.