Senior System Software Engineer - GPU Performance Profiling Tools

Location: China, Shanghai

Time Type: Full time

Job Description

At NVIDIA, we are proud of our advanced analysis and debugging tools that help engineers reach outstanding performance and power efficiency in products and applications. We invite creative, diligent, and innovative people to join our committed software team with rigorous standards. This software engineering position focuses on building tools for NVIDIA’s internal teams to improve hardware development and software execution.

As part of the software development team, we work with users from different departments, including Architecture and Software teams. Our mission is to give users intuitive, rich, and detailed insights into workloads and systems. This helps them see opportunities in both software and hardware. We then build high-level models that suggest and deliver world-class hardware and software solutions to our customers. We also debug complex issues to improve system performance and efficiency.

What you’ll be doing:

• Build and maintain internal profiling tools aimed at performance and power optimization by using real-world GPU applications, such as games and AI workload.
• Collaborate with our users to model and improve the design for next-generation GPU for better performance and power efficiency
• Partner with hardware architects to propose new features or improve existing ones based on real-world use cases.

What we need to see:

• BS+ in Computer Science or a related field (or equivalent experience) with 3+ years of software development experience.
• Strong system software development skills in C++.
• Proficiency in using coding agents like Codex, Claude Code, etc.
• A motivated self-starter with strong problem-solving abilities and excellent customer-facing communication skills.
• Passion for continuous learning and the ability to work concurrently with multiple global groups.

Ways to stand out from the crowd:

• Expertise in using GPU APIs such as DirectX12, Vulkan, or CUDA.
• Proficient in CPU/GPU application performance profiling, analysis, and optimization.
• Experience contributing to open-source projects, particularly 3D game engines.
• In-depth knowledge of GPU and/or CPU architecture and general computer architecture principles.