Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

NVIDIA is a leading technology company known for its innovation in GPU technology. They are seeking a motivated system software engineer to work on the CUDA Driver, focusing on multi-node scalability and memory models to enhance computational workloads including AI and deep learning.

Responsibilities:

• Evangelize, architect, and implement new features related to CUDA’s memory model and multi-node scalability geared towards next-gen AI applications and deployments
• Coordinate and drive development efforts across multiple teams
• Help define forward-looking improvements to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested code
• Develop code for multiple operating systems

Requirements:

• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
• Strong C and C++ programming skills
• Minimum of 8 years of related development experience (multiple positions for varying experience levels open)
• Experience driving projects across multiple teams
• Experience working with large codebases
• Background with operating system interfaces for threads, process control, and virtual memory
• Experience writing and debugging multithreaded programs
• Good written communication as well as presentation skills
• Prior experience with parallel computing, PyTorch, low-latency AI inference
• Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Knowledge of memory coherence and consistency models
• Background with kernel mode development
• Experience with Linux, or Windows Systems Software development