NVIDIA→
Systems Software Engineer, Workstation Performance -… at NVIDIA · US
Entry LevelOn-siteFull-timeUS, CA, Santa Clara$108k–$178k/yr
Skills
cc++source code controlperforcegitsoftware development practicesdesign reviewscode reviewswindows 10windows 11ai toolslow-level systems software developmentpythonperlstatisticsvariance analysislinuxosxcpu architecturesopengldirect3dcudaopenclpytorchtensorflowanalytical ability
Job Description
Summary: NVIDIA is working to enhance GPU benchmarks and is seeking an engineer to develop innovative GPU performance benchmarks. The role involves analyzing API work, scripting benchmarks for accuracy, and collaborating with other engineers to improve performance on NVIDIA hardware.
Responsibilities:
- 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!
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: C, C++, Source code control, Perforce, GIT, Software development practices, Design reviews, Code reviews, Windows 10, Windows 11, AI tools, Low-level systems software development, Python, Perl, Statistics, Variance analysis, Linux, OSX, CPU architectures, OpenGL, Direct3D, CUDA, OpenCL, PyTorch, TensorFlow, Analytical ability
Benefits: Equity, Benefits
Benefits
Equity
Benefits