NVIDIA 2027 Internships: Systems Software Engineering

Details

NVIDIA's 2027 Systems Software Engineering internships provide students with hands-on experience working on projects with measurable business impact across systems software, software security, graphics systems software, compilers, and firmware and embedded software. The internship is a 12-week, full-time opportunity for students pursuing a B.S., M.S., or Ph.D. in a relevant field.

Responsibilities

Systems Software

• Define, design, and develop integrated GPU system software components, such as Jetson Orin, and discrete GPU system software components, such as Hopper H100.
• Develop runtime and math library components focused on power and performance.
• Create architecture and design specifications.
• Work with operating systems, multithreaded debugging, Linux kernel development, RTOS development on embedded platforms, data structures and algorithms, computer networking, and low-level programming.

Software Security

• Harden and develop secure solutions across the software stack, from multi-node supercomputers to microcontrollers and security co-processors.
• Build tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code.
• Apply knowledge of operating systems, data structures and algorithms, computer networking, network security, cryptography, computer systems architecture, and microcontroller and microprocessor fundamentals.

Graphics Systems Software

• Design and implement OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests for new hardware features.
• Collaborate with software, hardware, architecture, and support teams.
• Train and debug issues in the Tegra graphics software stack.
• Apply knowledge of computer architecture, operating systems, real-time systems development, device driver programming, game console middleware, low-level library development, and 2D and 3D graphics theory and optimization.

Compiler

• Work on deep-learning compiler technology, including architecture design and support through functional languages.
• Investigate problems and optimization opportunities in the compiler backend.
• Collaborate with global compiler, hardware, and application teams to improve systems and resolve problems.
• Work with compiler construction, advanced algorithms and data structures, computer architecture, compiler development, open-source programming, high-performance computing, and tools such as XLA, TVM, Halide, Clang, LLVM, and GCC.

Firmware and Embedded Software

• Develop firmware for embedded microcontrollers within GPUs.
• Optimize software to improve system robustness, performance, and security.
• Test new and existing firmware.
• Develop tools and infrastructure to improve front-end design and verification processes.
• Apply knowledge of embedded systems, real-time performance, low-level development, computer architecture, Linux kernel development, multithreaded and multiprocess programming, and RTOS development on embedded platforms.

Requirements

• Must be actively enrolled in a university and pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field for the full duration of the internship.
• The anticipated graduation month and year must be clearly indicated on the resume or CV.
• Depending on the internship role, prior experience or knowledge may be required in C, C++, C++17, CUDA, x86, Perl, ARM CPUs, GPUs, Embedded C, Linux, Linux kernel development, Bash or shell scripting, and 2D and 3D graphics, rendering, and shaders.
• Relevant knowledge may include operating systems, formal verification tools such as Spark and Frama-C, multithreaded or multiprocess programming, computer networking, open-source tools such as Clang, LLVM, and GCC, testing and production automation tools such as XLA, TVM, and Halide, and microprocessor fundamentals including caches, buses, memory controllers, and DMA.

Benefits

• Intern benefits are provided.
• Applications are accepted on an ongoing basis.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.
• NVIDIA uses AI tools in its recruiting processes.