This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
About the position
A key part of NVIDIA's strength is our sophisticated development tools and modeling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models.
Responsibilities
- Play a critical part in every stage of development of a GPU.
- Improve the daily workflows of the world's top chip modelers and designers to help produce the next greatest generation of GPUs.
- Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow.
- Coordinate with architecture and software teams to enable functional and performance testing for the next architecture.
Requirements
- Bachelor's or higher degree in Computer Science, Computer Engineering, or related major (or equivalent experience)
- 5+ years of experience
- Aptitude to work across the GPU, driver, and application stacks
- Strong C/C++ is a must-have capability
- Excellent interpersonal skills
- Ability to multi-task
- Some familiarity with a scripting language, such as Python or Perl
- Flexibility for working in an evolving environment with different frameworks and requirements
Nice-to-haves
- Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills
- A knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL
- Experience with chip and/or system simulation
- Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful
- Advanced programming expertise with full-stack web based visualization technologies to help provide data insights.
Benefits
- Equity and benefits
