Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Software Development @ 5
Python @ 6
Hiring @ 3
Debugging @ 3
Design Patterns @ 3
CUDA @ 3
GPU @ 3
AI @ 3
OpenGL @ 3
- 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.
Details
NVIDIA is hiring engineers to develop core infrastructure for modeling, analyzing, and debugging large-scale, general-purpose graphics and computing GPUs. The team builds chip simulations, test authoring languages and tools, and infrastructure that enables driver stacks, applications, tests, and studies to run on functional, diagnostic, and performance models, simulations, emulations, and silicon.
Responsibilities
- Participate in every stage of GPU development and play a critical part in the development lifecycle.
- Work at the interface between software drivers and GPU simulation environments.
- Run software applications directly on simulated GPUs across diverse environments and become a specialist in that area.
- Capture instrumentation requirements from GPU architects researching next-generation improvements.
- Coordinate with GPU architects to enable functional and performance testing for new architectures.
- Work closely with software teams to help deliver production-ready drivers when silicon ships.
- Improve daily workflows of chip modelers and designers globally to support next-generation GPU development.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 5+ years of relevant software development experience.
- Strong C++ programming capability (required).
- Understanding of the software driver stack, either in compute (CUDA) or graphics (DirectX, OpenGL, or Vulkan).
- Ability to work across GPU and driver stacks and support production-quality software standards.
- Knowledge of object-oriented design patterns (required).
- Excellent interpersonal skills and flexibility/adaptability to work in dynamic environments with different frameworks and requirements.
Ways to Stand Out
- Experience with chip and/or system simulation.
- Strong Python scripting skills.
- Experience with farm compute tools/techniques such as virtual machines, containers, and distributed programming.
Compensation & Benefits
- Base salary range: 152,000 USD - 241,500 USD (determined based on location, experience, and internal pay equity).
- Eligible for equity and benefits (link to NVIDIA benefits page provided in the original posting).
Additional Information
- #LI-Hybrid (hybrid work arrangement).
- Applications accepted at least until April 20, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.