By submitting your resume, you're expressing interest in one of our 2025 Systems Software Engineering Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Systems Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

• 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

• Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Multithreaded Debugging, Linux Kernel Development, RTOS Development on Embedded Platforms, Data Structures & Algorithm time/space complexity

• 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

• Course or internship experience related to the following areas could be required: Computer Architecture, Operating Systems, Real-Time Systems Development, Device Driver Programming, Game Console Middleware, or other Low-Level Library Development, 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or Emulation (writing & debugging tests)

• 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

• Course or internship experience related to the following areas could be required: Compiler Development, Open Source Programming, High-Performance Computing (HPC)

• 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

• Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems Software Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms

• 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

• Course or internship experience related to the following areas could be required: Operating Systems, Data Structures & Algorithms, Cybersecurity, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)

• Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field

• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:

• C, C++, CUDA, x86, ARM CPU, GPU, Linux, Perl, Bash/Shell Scripting

• Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Open Source Tools (CLANG, LLBM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide), Microprocessor Fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)