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Internship

NVIDIA 2025 Internships: Systems Software Engineering

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Develops GPUs for AI and computing

Data & Analytics
Consulting
Hardware
VR & AR
Enterprise Software
AI & Machine Learning
Design
Gaming

Compensation Overview

$18 - $71Hourly

+ Intern Benefits

Santa Clara, CA, USA

Category
Backend Engineering
Embedded Engineering
Game Engineering
Software Engineering
Required Skills
Bash
CUDA
Apache Spark
Operating Systems
Perl
OpenGL
Linux/Unix
Requirements
  • 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.)
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
  • 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

NVIDIA is a top-tier employer for those inclined towards cutting-edge technology and AI data processing. They are crucial in driving the accelerated computing paradigm with their development of GPU technology, which has fundamentally altered computer graphics and powers data center solutions across multiple industries. This makes them a brand name not just in technology, but also in innovation within digital realms like the metaverse.

Company Stage

Grant

Total Funding

$4.2B

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

12%

1 year growth

20%

2 year growth

33%
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Simplify's Take

What believers are saying

  • NVIDIA's diverse investment portfolio offers employees exposure to cutting-edge technologies and industries, fostering a dynamic and innovative work environment.
  • The company's strategic acquisitions and partnerships provide opportunities for professional growth and cross-industry collaboration.
  • NVIDIA's strong financial backing and market leadership ensure stability and resources for continued innovation and development.

What critics are saying

  • NVIDIA's expansion into various sectors may dilute its focus and resources, potentially impacting its core GPU business.
  • The competitive landscape in AI, robotics, and autonomous vehicles is intense, posing challenges for NVIDIA to maintain its leadership position.

What makes NVIDIA unique

  • NVIDIA's strategic investments in diverse sectors like robotics, AI disease modeling, and driverless trucks highlight its commitment to pioneering technologies beyond its core GPU business.
  • The acquisition of Shoreline.io, a software startup, indicates NVIDIA's focus on enhancing its software capabilities, setting it apart from competitors primarily focused on hardware.
  • NVIDIA's involvement in significant funding rounds for companies like Mistral AI and Bright Machines showcases its influence and leadership in the AI and intelligent manufacturing sectors.