The GPU System Performance Architect role at NVIDIA involves designing and developing next-generation GPU-accelerated computing systems. The position focuses on enhancing GPU-accelerated cloud computing through innovative processor and system architectures. Candidates will analyze system performance and collaborate with various teams to guide the direction of GPU technology. This role is ideal for individuals passionate about deep learning, data analytics, and high-performance computing.

• A Masters or PhD in Computer Science, Electrical Engineering, or Computer Engineering or equivalent experience.
• 10 years of relevant work or research experience.
• Excellent mathematical and analytical skills.
• Deep knowledge of computer architecture.
• Strong communication, organizational, and interpersonal skills.
• Experience with analytical performance modeling, simulation, profiling, and analysis.

• Develop innovative processor and system architectures for GPU-accelerated cloud computing.
• Analyze trade-offs in system performance, cost, and efficiency using analytical models and simulators.
• Understand and analyze hardware and software interactions in large-scale data center deployments.
• Collaborate across the company with software, product, and business teams to guide GPU-accelerated cloud computing.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.