NVIDIA 2026 Internships: Systems Software Engineering - US
Santa Clara, CA
Full-time
Onsite
New Grad
NVIDIA is a leader in accelerated computing and AI technology, transforming various industries. They are seeking interns for their Systems Software Engineering team to work on impactful projects during a 12-week internship.
Defining, designing, and developing integrated (e.g., Jetson Orin) and discrete (e.g., Hopper H100) GPU system software components (e.g., runtime, math libraries) with focus on power and performance, as well as creating architecture and design specifications
Designing and implementing of OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests to support new hardware features in collaboration with other software, hardware, architecture, and support teams
Training and debugging various issues within the Tegra graphics software stack
Working at the center of deep-learning compiler technology, spanning architecture design and support through functional languages
Investigating problems or optimization opportunities within the Compiler backend by working with global compiler, hardware, and application teams to oversee improvements and problem resolutions
Supporting development of firmware run on embedded microcontrollers within GPUs, while optimizing software to improve system robustness, performance, and security
Participating in testing new and existing firmware, and developing tools and infrastructure to improve our front-end design and verification process
Hardening and developing secure solutions across the software stack, spanning multi-node supercomputers down to microcontrollers and security co-processors
Building tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code
Qualification
Required
Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
C, C++, CUDA, x86, ARM CPU, GPU, Embedded C, Linux, Linux Kernel Development, Perl, Bash/Shell Scripting
Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory)
