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Internship

Software Engineering Intern

Generalist Embodied Agents Research, Fall 2024

Posted on 6/12/2024

NVIDIA

NVIDIA

10,001+ employees

Develops GPUs for AI and computing

Data & Analytics
Robotics & Automation
Automotive & Transportation
AI & Machine Learning
Healthcare

Remote in USA

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 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

14%

1 year growth

22%

2 year growth

35%
Simplify Jobs

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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