Internship

Software Engineering Intern

Generalist Embodied Agents Research, Fall 2024

Posted on 6/12/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Remote in USA

The job is located at NVIDIA, and the intern will work with a collaborative research team at the Generalist Embodied Agent Research (GEAR) group.

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
Tensorflow
CUDA
Requirements
  • Pursuing a Bachelors, Masters, or PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
  • Outstanding engineering skills for rapid prototyping and product development. Python is required; C++ and CUDA proficiencies are a plus.
  • Knowledge in machine learning frameworks like PyTorch, Jax, Tensorflow and/or robotics frameworks like ROS.
  • Experience with at least one of the following areas: large-scale AI systems or practical robotics systems.
Responsibilities
  • Work with world-class researchers at NVIDIA to develop robust AI solutions for general-purpose humanoid robots and embodied agents.
  • Develop large-scale AI training and inference infrastructure for foundation models.
  • Develop robust and scalable data pipelines.
  • Systematically evaluate and analyze AI models in physical simulation and on robot hardware.
  • Collaborate with research and engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stacks.

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, such as GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks like gaming graphics and complex computations in AI and machine learning. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to drive innovation in AI and HPC, providing advanced solutions that cater to a wide range of clients, from gamers to researchers and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

13%

1 year growth

25%

2 year growth

42%
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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.

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