Senior GPU System Performance Architect

Details

We are now looking for a GPU System Performance Architect! The NVIDIA Platform Architecture group is looking for extraordinary computer architects with a real passion for GPU-accelerated deep learning, data analytics, and high-performance computing to help design and develop the next generation of GPU-accelerated computing systems. This position offers the opportunity to have a real impact in a dynamic, technology-focused company.

Responsibilities

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

Requirements

• 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 a real passion for working as a team.
• Experience with analytical performance modeling, simulation, profiling, and analysis.

Benefits

• You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.