Senior System GPU Performance Engineer at NVIDIA

Department: Engineer, ASIC

Language

Setup: On-site
Location: Huangpu, Shanghai
Type: Full-time
Level: senior
Posted: Sep 30, 2026

Description

NVIDIA is hiring a Senior System GPU Performance Engineer to maximize the performance and power efficiency of production GPU systems. The role owns system-level characterization, experiment design, bottleneck analysis, root-cause closure, and productization of performance and power improvements across silicon, firmware, drivers, BIOS, platforms, and software. It requires a BS or MS in a relevant engineering or computer science field, at least 8 years of GPU or system performance engineering experience, strong GPU architecture knowledge, and programming and analysis skills using Python and one or more of C, C++, SQL, JMP, or equivalent.

Required Skills

GPU characterization
Product binning
GPU architecture
Python
C/C++/SQL
Experiment design
Performance modeling
Root-cause analysis

Additional Information

Minimum Education: Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent experience
Required Previous Experiences: 8+ years of experience in GPU or system performance engineering, post-silicon characterization, silicon productization, or hardware-software performance optimization
Hands-on experience with silicon bring-up, frequency and power characterization, product binning, and performance-per-watt optimization
Programming and analysis experience using Python and C, C++, SQL, JMP, or equivalent, including automation, data processing, and visualization
Preferred Qualifications: Track record of shipping GPU performance or power features that improved application performance, performance per watt, product segmentation, or time to market
Experience optimizing large GPU, CPU, AI accelerator, or complex SoC platforms for datacenter, gaming, automotive, robotics, or embedded products
Deep experience with GPU profiling, workload characterization, production telemetry, performance counters, or simulation-to-silicon correlation
Experience building reusable performance models, test frameworks, or analysis methodologies adopted across multiple silicon programs or advanced process nodes
Experience applying AI tools to accelerate experiment design, anomaly detection, debugging, analysis, or reporting workflows
Translation Company Name: NVIDIA