System Software Engineer, Profiler - GPU

Job Description

Design and maintain GPU performance foundation libraries for Nsight tools with a focus on hardware events and counters. Develop GPU assembly tests and a validation framework using CUDA and GPU Assembly to support next-generation accelerated computing.

Requirements: Requires a degree in EE/CS with 5+ years of experience (or advanced degrees with less) and strong proficiency in C, C++, and Python. Candidates must have a solid understanding of hardware pipelines, assembly code, and experience with performance optimization on hardware accelerators.

Key Skills: C, C++, Python, GPU Assembly, CUDA, Performance Analysis, Hardware-Software Co-design, Simulators, Emulators, Hardware Pipeline, Instruction Pipeline, Software Optimization, Debugging, Profiling, Driver Development, Low-level Programming

Benefits: Equity