GPU Simulation System Software Engineer

at Nvidia

📍 Santa Clara, United States

USD 152,000-241,500 per year

MIDDLE

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

CUDA @ 3 Debugging GPU @ 3 OpenGL @ 3 Software Development @ 5

Details

NVIDIA is looking for a software engineer to help build the future of GPU architecture as part of the GPU architectural modelling team. The role focuses on core infrastructure for modeling, analyzing, and debugging large-scale, general-purpose graphics and computing chips, enabling driver stack, applications, tests, and studies to run unchanged across functional, diagnostic, and performance models.

Responsibilities

Play a critical part in every stage of development of a GPU
Thrive at the interface between software drivers and the GPU simulation
Run SW applications directly on simulated GPUs in diverse environments
Gather instrumentation requirements from GPU architects researching next-gen improvements
Coordinate with GPU architects to enable functional and performance testing for the next architecture
Work closely with SW teams to deliver production-ready drivers when silicon goes to market
Improve daily workflows of chip modelers and designers to produce the next generation of GPUs

Requirements

Bachelor’s or Master’s in Computer Science or Computer Engineering (or equivalent experience)
5+ years of relevant software development work experience
Understanding of the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)
Ability to work across the GPU and driver stacks
Strong C++ programming capability
Knowledge of object-oriented build patterns
Excellent interpersonal skills
Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements