NVIDIA 2027 Internships: Systems Software Engineering

Responsibilities

• 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 experience 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 & Algorithms (time/space complexity), Computer Networking (TPC/IP, OSI Model, Sockets), Low-Level Programming
• 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
• 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
• 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
• Operating Systems Compiler, Compiler Construction, Advanced Algorithms and Data Structures, Computer Architecture, Compiler Development, Open Source Programming, High-Performance Computing (HPC), Automation Tools (XLA, TVM, Halide), Open Source Tools (CLANG, LLBM, gcc)

Languages