System Performance Analysis Engineer

Responsibilities

• Drive large-scale benchmarks for competitive and comparative analysis.
• Design automation tools for product definitions, data collection, test case execution, and results analysis.
• Provide detailed data analysis regarding functionality, performance, and latency.
• Develop methodologies to optimize HW/SW performance and power management to maximize performance-per-watt.
• Research new architectural features for next-generation GPU, CPU, and SOC to optimize performance and power.
• Tackle multi-variable problems through system-level modeling, testing, characterization, and trend analysis.
• Utilize AI-driven techniques and machine learning algorithms to enhance performance prediction models and power management strategies.

Requirements

• BS or MS in Electrical Engineering (EE) or Computer Engineering (CE).
• 5+ years of experience in performance and power management.
• Strong EE fundamentals in digital design, low power design, DVFS, control systems, and architecture.
• Solid understanding of firmware/driver structures and HW/SW interaction with different IPs.
• Experience with DVFS, power gating, clock policy, sequencing, and throttling.
• Proficiency in leveraging AI/ML for performance prediction and advanced optimization.

Preferred Qualifications

• Hands-on lab experience with oscilloscopes, multimeters, and logic analyzers.
• Exposure to silicon bringup.
• Demonstrated cross-functional leadership across architecture, silicon, firmware, and software teams.
• Experience with modeling and simulation tools for performance validation at scale.
• Contributions to open-source projects or communities in low-power design methodologies.

About the Company

NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency. As part of the Silicon Co-Design Group, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.