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.
AI
Algorithms @ 3
CUDA @ 3
Deep Learning @ 3
GPU @ 3
Machine Learning @ 3
Mathematics @ 3
Parallel Programming @ 6
Python @ 3
Robotics
- 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 developing GPU technologies that power AI, computer graphics, parallel computing, robotics, and autonomous vehicles. In this position, you will be responsible for developing and enhancing features in GPU architecture.
Responsibilities
- Contribute to GPU architecture simulators, GPU testing infrastructure, and metrics.
- Understand and model features for future GPU graphics and parallel-processing architectures using C++ and Python.
- Develop test plans and testing infrastructure.
- Debug tests on architecture simulators.
- Develop tools to validate performance models and verify functional models.
Requirements
- Pursuing or recently completed an MS or PhD, or equivalent experience, in computer science, electrical engineering, mathematics, or a related discipline.
- Strong programming ability in C, C++, and Python.
- Deep knowledge of computer architecture and parallel programming.
Preferred Qualifications
- Experience with machine learning, deep learning, graphics algorithms, and/or signal processing.
- Prior architecture experience.
- Programming experience with CUDA, DirectX, and/or Vulkan.
Compensation and Benefits
- Base salary range of $124,000–$195,500 for Level 2.
- Base salary range of $152,000–$241,500 for Level 3.
- Salary is determined based on location, experience, and the pay of employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until July 25, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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