Internship

Systems Software Engineering

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$18 - $71Hourly

Santa Clara, CA, USA

Remote option available, but in-office presence in Santa Clara is required.

Category
Backend Engineering
Embedded Engineering
Game Engineering
Software Engineering
Required Skills
Bash
CUDA
Apache Spark
Operating Systems
Perl
C/C++
Linux/Unix
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field
  • 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 and discrete GPU system software components 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
  • 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 designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

2%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
  • Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

What critics are saying

  • Increased competition from AI startups like xAI could challenge NVIDIA's market position.
  • Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
  • Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match