Senior System Software Engineer - Local AI

NVIDIA is seeking a Senior Systems Software Engineer to build efficient on-device AI software for RTX and DGX-class systems. This role focuses on high-performance local inference, low latency, efficient memory use, infrastructure, and practical deployment on resource-constrained platforms.

The ideal candidate will partner with NVIDIA's software, research, architecture, and product teams to align strategies and technical needs. They will build and optimize local AI inference stacks for RTX, RTX Pro, and DGX GPUs, focusing on performance, stability, and scalability across various hardware architectures.

Key responsibilities include:

• Developing and optimizing local AI inference stacks for RTX and DGX GPUs
• Architecting and developing modern inference runtimes and execution stacks
• Performing end-to-end optimization of AI models, data pipelines, and inference runtimes
• Debugging and optimizing system-level performance

Requirements:

• 5+ years of experience with a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field
• Excellent C++ programming and debugging skills
• Proven experience working with AI inferencing pipelines and applications using ML/DL frameworks
• Strong analytical and problem-solving abilities

NVIDIA offers competitive salaries and a generous benefits package.