NVIDIA is seeking Systems Software Engineering Interns to help tackle complex challenges in AI and digital twins, transforming industries like gaming, robotics, self-driving cars, healthcare, and virtual worlds. The internships aim to provide hands-on experience with industry-leading Systems Software teams, contributing to projects with measurable business impact.
Requirements
- 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)
- 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)
- Course or internship experience related to the following areas could be required: 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)
- Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems (Processors, Firmware, Input/Output Devices and Memory), Real-Time Performance, Low-Level Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms
- Course or internship experience related to the following areas could be required: Operating Systems, Data Structures & Algorithms, Computer Networking, Network Security, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.)
- 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), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Computer Networking (TPC/IP, OSI Model, Sockets), Open Source Tools(CLANG, LLBM, gcc), Testing Production/Automation Tools(XLA, TVM, Halide), Microprocessor Fundamentals* (Caches, Buses, Memory Controllers, DMA, etc.)
Responsibilities
- 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
Other
- 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.
- seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
- Applications are accepted on an ongoing basis.
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
