Nvidia Senior GPU System Performance Architect 

United States, Texas 

79300247

What you'll be doing:

• Develop innovative processor and system architectures to extend the state of the art in GPU-accelerated cloud computing.

• You'll analyze trade-offs in system performance, cost and efficiency by developing analytical models, simulators and data visualization tools.

• Understand and analyze the interactions between hardware and software in large-scale data center deployments of GPU-accelerated systems.

• Collaborate across the company to guide the direction of GPU-accelerated cloud computing, working with software, product and business teams.

What we need to see:

• Masters or PhD in a relevant field such as Computer Science, Electrical Engineering, or Computer Engineering or equivalent experience

• 10+ years of relevant work or research experience.

• Strong programming skills in Python and C++ proven throughout your work history.

• Excellent mathematical and analytical skills.

• Work experience that shows a deep knowledge of computer architecture.

• Strong communication, organizational and interpersonal skills with and a real passion for working as a team

• Experience with analytical performance modeling, simulation, profiling and analysis.

Ways you can stand out from the crowd:

• You possess a background in data center/cloud computing design with experience in crafting hardware for a virtualized environment.

• Expertise in data analysis and visualization.

• Prior experience and familiarity with GPU computing and parallel programming models