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The Role
Develop GPU performance benchmarks, analyze APIs, and design new features for improved performance. Collaborate with engineers to innovate in benchmarking.
Summary Generated by Built In
NVIDIA is working to make GPU benchmarks more useful and relevant to end users. We want to hire an engineer to develop groundbreaking GPU performance benchmarks and to help make them run faster on NVIDIA hardware. If you join our team, you will continue to improve your skills with knowledge of various professional applications such as Creo, 3D Studio Max, Solidworks, as well as cutting-edge technologies such as GPU computing and generative AI. This is a dynamic area of technology, so you will have many opportunities to learn about state of the art applications. We are very passionate about graphics and benchmarking; if you share our passion, you might be the person we need.
What you'll be doing:
- We are developing new techniques to benchmark professional GPU applications.
- A key part of your job will be to analyze the API work performed by the applications, and to isolate that work to build robust performance benchmarks.
- You will help us find creative ways to script the benchmarks to ensure accuracy and repeatability.
- You will also help design and implement new driver and hardware features to improve performance on these benchmarks. Collaborate with other outstanding NVIDIA engineers to make a difference in the industry!
What we need to see:
- Pursuing BS, MS, or PhD in Computer Science or Software Engineering or equivalent experience
- Experience with C and C++ development
- Familiar with source code control software such as Perforce or GIT
- Experienced with software development practices such as design and code reviews
- Comfortable developing software in the Windows 10 or Windows 11 environment
- Experienced with AI tools and enthusiasm for learning new ones
Ways to stand out from the crowd:
- Development of low-level systems software and experience with scripting tools such as Python or Perl
- Fundamentals of statistics, including variance analysis
- Developing software on other operating systems, such as Linux or OSX
- Experience with multiple CPU architectures
- The use of graphics APIs such as OpenGL or Direct3D
- GPU compute frameworks such as CUDA or OpenCL
- Machine Learning frameworks such as PyTorch or TensorFlow
Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
C
C++
Cuda
Direct3D
Git
Opencl
Opengl
Perforce
Perl
Python
PyTorch
TensorFlow
Windows 10
Windows 11
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The Company
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
