Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

NVIDIA is seeking a Senior Software Engineer to work on the CUDA Driver, a core component of their platform for accelerating general-purpose computation on GPUs. As a member of this team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.

Responsibilities:

• Evangelize, architect, and implement new features
• Coordinate and drive development efforts across multiple teams
• Help define forward-looking improvements to the CUDA APIs and programming model
• Extend important CUDA programming models and functionality such as CUDA Graphs
• Explore ways to use Graphs to improve the scheduling of AI/ML workloads on GPUs to be more efficient and faster
• 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 4 years of related development experience
• Experience driving projects across multiple teams
• Experience working with large codebases
• Background with operating system interfaces for threads, process control, and virtual memory
• Understanding of system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Experience writing and debugging multithreaded programs
• Good written communication and presentation skills

Preferred qualifications:

• Prior experience with parallel computing, preferably writing CUDA Programs or Libraries that use CUDA
• Knowledge of memory coherence and consistency models
• Background with kernel mode development
• Experience with Linux Systems Software development
• Experience maintaining and extending programming models or higher-level language support for similar environments