GPU Performance Software Engineer – New College Grad 2023
NVIDIA
GPU Performance Software Engineer – New College Grad 2023
NVIDIA
Designs the chips and software that power AI
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
At least one year of 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
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
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
You will also be eligible for equity and benefits.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
Explore more opportunities at NVIDIA