Principal Engineer, CUDA UMD - GPU Kernel Scheduling

Job Description

You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA. Your role will involve coordinating and driving development efforts across multiple teams and implementing new features.

Requirements: A BS or MS degree in Computer Science, Electrical Engineering, or a related field is required, along with strong C and C++ programming skills and a minimum of 15 years of related development experience. Experience with large codebases and multithreaded programs is also necessary.

Key Skills: C Programming, C++ Programming, Device Drivers, Multithreaded Programming, Operating System Interfaces, CUDA, Parallel Computing, Kernel Mode Development, Linux Systems Software, Memory Hierarchy, Process Control, Virtual Memory, Debugging, Software Development, Communication Skills, Presentation Skills

Benefits: Equity, Health Insurance