Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

Job Description

Architect and implement new features for the CUDA Driver to optimize GPU kernel scheduling and AI/ML workloads. Collaborate across teams to extend CUDA programming models and improve the overall compute platform.

Requirements: Requires a degree in Computer Science or Electrical Engineering with at least 4 years of experience in C/C++ and system-level software development. Candidates should have a strong understanding of OS interfaces, memory management, and multithreaded programming.

Key Skills: C, C++, CUDA, Device Drivers, Multithreading, Operating Systems, System Architecture, Kernel Mode Development, Parallel Computing, Linux Systems Software, Virtual Memory, Memory Hierarchy

Benefits: Equity