GPU System Software Engineer - Profiler & Performance

NVIDIA AI; Austin (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA AI in Austin is seeking an experienced engineer to design and maintain GPU performance foundation libraries for Nsight tools, with a focus on hardware events and counters.

The role involves developing GPU assembly tests and a validation framework using CUDA and GPU Assembly to support next-generation accelerated computing.

Candidates should bring 5+ years of experience in EE/CS, strong C/C++/Python skills, and a deep understanding of hardware pipelines and optimization.

Qualifications

• 5+ years of experience in EE/CS or related field.
• Strong proficiency in C, C++, and Python.
• Solid understanding of hardware pipelines and assembly.
• Experience with performance optimization on hardware accelerators.

Responsibilities

• Design and maintain GPU performance libraries for Nsight tools focusing on hardware events and counters.
• Develop GPU assembly tests and a validation framework using CUDA and GPU Assembly.

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

Education

Degree in EE/CS

Job description

NVIDIA AI in Austin is seeking an experienced engineer to design and maintain GPU performance foundation libraries for Nsight tools, with a focus on hardware events and counters.

The role involves developing GPU assembly tests and a validation framework using CUDA and GPU Assembly to support next-generation accelerated computing.

Candidates should bring 5+ years of experience in EE/CS, strong C/C++/Python skills, and a deep understanding of hardware pipelines and optimization.