Performance Engineer

Overview

• NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
• It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
• Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
• An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
• Doing what’s never been done before takes vision, innovation, and the world’s best talent.
• As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
• Come join the team and see how you can make a lasting impact on the world.
• Are you ambitious and ready to make a significant impact in a dynamic, technology-focused company? At NVIDIA, we're looking for a Performance Engnieer to join our outstanding Perflab in Shanghai.
• This role offers an outstanding opportunity to work with innovative GPUs and optimize performance from the design stage through the entire product lifecycle.
• Join us and be part of a team that extends the state-of-the-art in gaming, professional visualization, Omniverse, efficiency! What you will be doing: Design, config and execute representative benchmark methodologies and real-world use cases that showcase product capabilities across AI/LLM, gaming, workstation, content-creation, and system workloads across servers, PCs, workstations, SoC and laptops.
• Analyze performance metrics and system telemetry to identify bottlenecks, regressions, and optimization opportunities.
• Produce clear, data-driven competitive analyses and technical reports that help internal and external stakeholders position NVIDIA products effectively.
• Develop and debug automation scripts for various benchmark performance and system monitoring data collection on Windows, Linux and MacOS.
• Build and maintain scalable automation frameworks, AI agents, dashboards, and data pipelines that improve testing efficiency, coverage, and analytical robustness.
• What we need to see: BS or MS degree 2+ years equivalent practical experience, in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
• Strong Python skills or proficiency in another scripting or programming language.
• Hands-on interest in AI/LLM workloads, PC gaming, workstation applications, and content-creation workflows.
• Solid understanding of PC and server architecture.
• Experience working with large datasets, and strong analytical and troubleshooting skills.
• Excellent communication, organizational, time management, and task prioritization skills.
• Ways to stand out from the crowd: Familiarity with NVIDIA GPUs and NVIDIA Technologies.
• Working knowledge of AI inference or training, finetuning concepts.
• Experience building, benchmarking, or operating AI platforms and LLM inference stacks.
• Experience developing AI agents or agentic workflows.
• Knowledge of containerized and virtualized workflows, including Docker, Kubernetes, and virtual machines.